Most companies talk about AI. Few build it. Fewer still rebuild themselves around it. At Elision Technologies, that’s exactly what’s happening — and the contact center industry is taking notice. For over two decades, Elision has powered contact centers across 50+ countries. Today, that same infrastructure is being rebuilt around artificial intelligence. Not as a feature. As the foundation. Here’s the inside story — and what it means for you.
The Shift the Industry Didn’t See Coming
Most AI in contact centers has been cosmetic. A chatbot here. A sentiment tag there. AI layered on top of legacy systems that were never designed for it. Elision’s leadership asked a harder question: What if we rebuilt the intelligence layer from scratch? That question became the roadmap. Driven directly by the CEO, the mandate was clear — use AI to work smarter, reduce manual effort, and get ahead of where the industry is moving, not where it already is.
Elision’s AI Voice Analysis Product — 100% of Calls, Zero Manual QA
Traditional contact center QA reviews 2–5% of calls manually. The rest? Gone. Patterns missed. Coaching skipped. Compliance gaps hidden. Elision’s proprietary AI Voice Analysis product changes that entirely. It analyzes every single call — in real time:
Live sentiment tracking across the full conversation arc, not post-call summaries
Intent detection early in the call for smarter, faster routing
Real-time compliance monitoring — flags violations the moment they happen, not days later
Conversation intelligence — surfaces objection patterns, escalation triggers, and winning language across thousands of calls
Going from 5% sampled to 100% analyzed isn’t incremental. It’s a completely different operational reality. It integrates natively with DialShree and VoiceLink — no infrastructure overhaul needed.
Building AI In-House — A Deliberate Choice
Most companies bolt on third-party AI and call it innovation. We built an internal AI team from the ground up — dedicated engineers, NLP specialists, ML model trainers, and product architects working exclusively on Elision’s AI roadmap.
Why does this matter?
Generic AI trained on generic data = generic results.
Elision’s models train on real platform data — actual Indian English speech, regional accents, multilingual conversations, and industry-specific language across healthcare, BFSI, e-commerce, and government.
The result is AI that performs accurately in real production environments — not just in demos.
And because it’s built in-house, Elision owns the IP. In a market where data and models are competitive assets, that’s a significant long-term advantage.
AI Automation as a Way of Working — Not Just a Product
The biggest mistake companies make with AI? Selling it while still operating internally like it’s 2019. Elision embedded automation into its own operations first. Here’s where it’s already running:
Product development — AI-assisted code review and test generation compress build cycles
Support operations — AI copilots surface knowledge and suggest responses, cutting resolution time
Sales & pre-sales — AI analyzes prospect requirements and generates proposal frameworks
Every hour recovered from a repetitive task is an hour redirected toward work that requires genuine human expertise. That compounding effect is very hard for competitors to replicate quickly.
CEO-Led AI Vision: Moving With the Industry, Not Behind It
AI transformation fails when vision sits in product teams but leadership still operates on old models. At Elision, AI is driven from the top:
Evaluating emerging tools before they go mainstream
Setting internal AI adoption targets with real accountability
Challenging teams to ask not just “what can we build?” but “what does AI now make possible?”
Communicating the roadmap clearly to clients, partners, and the industry
Business leaders are no longer debating whether to use AI in contact centers — the question is how quickly and strategically they can scale it. This top-down commitment creates organizational permission to experiment, iterate, and move fast — the environment where actual innovation happens.
CEO Mehul Shah’s AI-first leadership is reshaping how Elision — and the industry — thinks about the future of contact centers. Read his vision here →
What This Means for You
For Clients: Every Elision product is being evolved with AI built into the architecture. The voice analysis you deploy today becomes more accurate over time. Your workflows expand as new capabilities roll out. You’re not buying a static tool — you’re buying a platform that keeps improving. For Partners: Selling a platform backed by proprietary voice intelligence, owned IP, and a CEO-driven AI roadmap is a fundamentally different proposition than selling a product dependent on third-party updates. It’s a stronger conversation — and a stickier one. For the Industry: AI in contact centers is no longer a differentiator. It’s fast becoming the baseline. Companies still layering AI onto legacy architecture will find the gap widening against platforms rebuilt for AI from the ground up. Elision is already on the right side of that line.
The Road Ahead
Elision’s AI roadmap for the next 12–18 months:
Expanding AI Voice Analysis with deeper multilingual support and real-time agent coaching
Growing the internal AI team with conversational AI and predictive modeling specialists
Rolling out AI automation across additional internal and client-facing workflows
Deeper AI integration across DialShree and VoiceLink for enterprise, healthcare, and BFSI segments
The goal isn’t to build AI features. It’s to build an AI-native company. Features can be copied. Capability compounds.
Elision Technologies powers 2,500+ brands across 50+ countries with DialShree, VoiceLink, and proprietary AI solutions built for the contact center industry.
The Christmas and holiday rush brings unprecedented opportunities—and challenges. While your competitors scramble to keep up with demand, you have a chance to stand out by delivering experiences that customers remember long after the decorations come down. Whether you’re managing an online store, software platform, brick-and-mortar shop, or professional service, these ten approaches will help you turn seasonal interactions into lasting relationships.
1. Become a Communication Champion
Silence creates anxiety, especially during high-stakes holiday shopping. Your customers shouldn’t have to wonder where their order is or whether they’ll receive it in time. Implement automated updates at every milestone: order confirmation, processing, shipment, and delivery. Share realistic timelines upfront and communicate immediately if anything changes. For software businesses, holiday communication means alerting users about reduced support hours, scheduled maintenance, or temporary service adjustments. Create a dedicated holiday hub on your website where customers can quickly find answers about shipping deadlines, support availability, and return policies. When you keep customers informed, you eliminate the stress that drives them away. Pro tip: Set up SMS notifications for time-sensitive updates. Text messages have 98% open rates compared to 20% for emails.
2. Eliminate Every Unnecessary Click
During the holidays, patience runs thin and competition is fierce. Analyze your customer journey and ruthlessly cut steps that don’t add value. Enable guest checkout for first-time buyers who don’t want to create accounts. Integrate digital wallets like Apple Pay and Google Pay for instant transactions. Save customer preferences so returning visitors don’t re-enter the same information. Software platforms should streamline onboarding during this critical period. Reduce required form fields to the absolute minimum. Offer social login options. Pre-populate data wherever possible. Consider implementing a progress indicator so users know exactly how many steps remain. Think about returns too—make the process so simple that customers feel confident buying from you. Provide prepaid return labels, extend your return window through mid-January, and accept returns regardless of purchase channel.
3. Treat Every Customer as an Individual
Mass marketing feels hollow during a season that’s deeply personal. Mine your customer data to create meaningful personalization. Recommend products based on browsing history and past purchases. Send cart abandonment emails with the specific items they left behind. Acknowledge milestones like birthdays or anniversaries that happen to fall during the holidays. Software companies have rich usage data to leverage. Identify features customers aren’t using and send targeted tutorials. Recognize power users with early access to new capabilities. Segment communications by industry, company size, or use case so every message feels relevant. Personalization extends beyond digital too. Train your team to reference customer history during support interactions. Remember previous conversations. Acknowledge loyal customers by name. These human touches matter more than ever when everyone feels like a transaction. Pro tip: Create micro-segments based on customer behavior, not just demographics. Recent buyers, frequent browsers, and lapsed customers all need different approaches.
4. Support Customers on Their Schedule
Holiday shopping happens at midnight, during lunch breaks, and on weekends—whenever customers can squeeze it in. Your support availability should reflect these realities. Extend live chat hours during your peak traffic periods. Create comprehensive self-service resources for common questions: detailed FAQs, walkthrough videos, and troubleshooting guides. Empower your support team to resolve issues without requiring supervisor approval. The faster they can help, the happier customers become. Consider implementing a tiered support system where urgent issues get immediate attention while routine questions flow to self-service or asynchronous channels. Software businesses should monitor system performance continuously during the holidays. Set up alerts for unusual activity patterns. Have engineering resources on standby for critical issues. Communicate your escalation process clearly so customers know exactly how to reach help when they need it most.
5. Create Genuine Urgency with Exclusive Offers
The holidays naturally create urgency, but you can amplify it strategically. Launch exclusive products or bundles available only during December. Run flash sales with countdown timers that create real scarcity. Offer early access to sales for email subscribers or loyalty program members. Software platforms can experiment with holiday-specific pricing structures. Offer extended trial periods so prospects can thoroughly evaluate your solution despite busy schedules. Create annual plan discounts that expire December 31st, tapping into year-end budget cycles. Temporarily unlock premium features for free users, letting them experience your full value proposition. The key is authenticity—don’t manufacture false scarcity. Customers see through arbitrary limitations and lose trust when deadlines prove meaningless. If you advertise limited availability, actually limit availability.
6. Become the Gift-Giving Hero
Gift shopping stresses everyone out. Remove that friction and you become a customer’s favorite destination. Offer gift wrapping at checkout—even simple packaging with festive touches makes a difference. Provide gift receipts automatically that show what was purchased without revealing prices. Display your return policy prominently so gift-givers feel confident. Create curated gift guides that do the thinking for customers. Organize by recipient (for tech lovers, for home chefs, for fitness enthusiasts), by price point, or by occasion. Add personalization services like custom engraving or monogramming if feasible. Software businesses can tap into gift subscriptions. Make it easy to purchase accounts for others with proper documentation and smooth handoff to recipients. Consider offering team or family plans at holiday discounts. Create gift certificates that recipients can apply to the subscription tier they prefer.
7. Create Moments Worth Sharing
Unexpected delights generate word-of-mouth marketing that money can’t buy. Include handwritten thank-you notes in shipments—the personal touch stands out in a digital world. Upgrade shipping for loyal customers without announcing it. Add surprise samples or gifts that complement purchases. Software companies can create personalized year-in-review experiences showing customers their achievements, milestones, or most-used features. Send unexpected bonus credits or temporary feature upgrades to active users. Recognize customer success publicly through case studies or social media shoutouts (with permission). These gestures don’t require big budgets—they require thoughtfulness. A $2 handwritten note often creates more goodwill than a $20 discount. Focus on what makes your customers feel valued and understood. Pro tip: Train your team to identify opportunities for spontaneous kindness. Empower them to send small gifts or credits when customers face frustrations.
8. Foster Connection Beyond Transactions
The holiday emphasis on togetherness creates perfect conditions for community building. Launch user-generated content campaigns with branded hashtags encouraging customers to share their experiences. Run contests with prizes that align with your brand values. Host virtual events—workshops, Q&As, or celebrations—that bring customers together. Software platforms should activate their user communities during this period. Facilitate peer-to-peer support forums where experienced users help newcomers. Organize virtual meetups by region or industry. Create collaborative features that encourage customers to work together within your platform. Community transforms one-time buyers into brand advocates. People don’t just want products or software—they want to belong to something meaningful.
9. Win the Mobile Experience Battle
Check your analytics—mobile traffic likely dominates during holidays as people browse during commutes and downtime. Your mobile experience must be flawless. Test load speeds relentlessly; every extra second of load time increases abandonment rates. Ensure images are optimized, forms are touch-friendly, and buttons are thumb-sized. For software applications, verify that your mobile app or responsive design handles all critical workflows smoothly. Many users will evaluate your platform on mobile first. If they encounter friction, they’ll never reach desktop. Run regular mobile testing across different devices and connection speeds. Holiday shoppers on crowded networks with slower connections shouldn’t face frustrating experiences. Pro tip: Implement progressive web app features like offline functionality and add-to-home-screen prompts for frequent users.
10. Capitalize on Year-End Business Cycles
December presents unique opportunities for B2B and software businesses. Many companies have remaining budget they must spend before year-end or lose. Position your offerings as strategic investments that improve performance now while solving next year’s challenges. Promote annual subscriptions heavily during Q4 with messaging around budget utilization and long-term value. Offer complimentary migration services that remove switching barriers—when companies are evaluating tools for the new year, make the transition effortless. Bundle implementation or training services with purchases. Time major feature launches for early January when customers actively seek improvements and set fresh goals. Build anticipation throughout December with sneak peeks and beta access. Partner with complementary service providers for bundled offers that solve multiple needs simultaneously. Create urgency around December 31st deadlines not just for sales, but for starting projects that launch in Q1. Position yourself as the partner who helps customers hit the ground running in January.
Implementation: Your Action Plan
Implementing all ten strategies at once leads to scattered efforts and mediocre results. Instead, follow this approach: Step 1: Diagnose Your Biggest Opportunity Review last year’s holiday performance. Where did customers get frustrated? What generated the most support tickets? Which touchpoints drove the highest conversion? Your biggest pain point is your biggest opportunity. Step 2: Choose Three Focus Areas Select three strategies from this list that address your specific challenges. A retail business might prioritize mobile experience, gift-giving ease, and surprise moments. A software company might focus on year-end opportunities, extended support, and community building. Step 3: Set Specific, Measurable Goals Don’t just say “improve communication”—commit to “send order updates within 30 minutes of status changes” or “respond to support inquiries in under 2 hours.” Concrete targets drive concrete action. Step 4: Empower Your Team Your frontline staff determines whether strategies succeed or fail. Train them thoroughly, give them decision-making authority, and support them when they prioritize customer experience over rigid policies. Share customer feedback regularly so they see the impact of their efforts. Step 5: Monitor and Adjust in Real-Time Don’t wait until January to evaluate performance. Review key metrics daily during peak periods. If something isn’t working, adjust immediately. The holidays move too fast for lengthy analysis cycles.
The Long-Term Impact
Holiday customer experience creates compounding returns. Customers acquired during the holidays with positive experiences convert at higher rates year-round. The systems you optimize and processes you refine serve you long after December ends. The relationships you build during high-stress periods prove their durability during normal times. Most importantly, you learn what matters most to your customers when stakes are highest. Those insights inform strategy, product development, and service design for the entire year ahead. The businesses that dominate their markets don’t view the holidays as a necessary chaos to survive—they see it as an annual opportunity to demonstrate why customers should choose them over everyone else. They prepare thoroughly, execute deliberately, and never lose sight of the human beings behind every order number. Start planning your holiday experience strategy now. Choose your focus areas, set your goals, prepare your team, and get ready to create experiences that turn seasonal shoppers into lifelong customers. The holidays aren’t just your busiest season—they’re your biggest opportunity to prove what makes you different.
About Elision
At Elision, we believe exceptional customer experiences aren’t built on trends or one-size-fits-all solutions—they’re built on understanding your unique challenges and goals. We help businesses implement modern contact center software that actually works for their specific environment, whether that’s cloud-based, on-premise, or hybrid solutions. We’re not here to sell you what’s trendy. We’re here to help you choose solutions that serve your customers today and scale with your business tomorrow. Our approach is straightforward: we listen to your requirements, demonstrate real implementations transparently, and help you make decisions you’ll feel confident about years from now.
Ready to Transform Your Customer Experience?
Don’t make critical decisions about your customer experience strategy in isolation. Let’s have a conversation about what modern customer engagement actually looks like for businesses like yours—both during the holiday rush and year-round. Contact Elision today to explore solutions tailored to your specific situation. We’ll walk through your requirements, demonstrate options transparently, and help you build a customer experience strategy that creates loyalty, drives growth, and stands the test of time. Whether you’re preparing for this holiday season or planning for long-term success, we’re here to help you deliver experiences that turn customers into advocates.
Get in touch: https://www.elisiontec.com/contact-us/
Running a contact center in 2025 feels like conducting an orchestra where half the musicians are reading from different sheet music. Your agents are brilliant, your customers are demanding, and somewhere in between, there’s a gap that traditional tools just can’t bridge anymore. I’ve spent enough time on contact center floors to know what’s really happening. Your best agents are drowning in tabs, your new hires look terrified during their first solo calls, and everyone’s trying to remember if the new policy about returns started last Tuesday or two weeks ago.
Sound familiar?
Here’s What Nobody Talks About
We love talking about metrics – AHT, FCR, CSAT scores. But what about the moment when an agent freezes because they can’t remember the exact steps for a complicated process? Or when they put a customer on hold for the third time because the knowledge base search isn’t pulling up what they need? These moments matter. They’re the difference between a customer who recommends your brand and one who’s already drafting a negative review in their head. That’s exactly why AI agent assistance has become critical for customer engagement today.
How AI Agents Make Customer Engagement Smoother and Faster
Think about the last time you called customer service. What made it a good experience? Probably someone who understood your problem quickly, didn’t make you repeat yourself, and actually solved your issue without transferring you three times. That’s the magic AI agents bring to the table – but not by replacing humans. By making human agents better, faster, and more effective at what they already do.
Eliminating the Painful Pauses
You know those awkward silences during customer calls? The ones where you can practically hear the agent typing, clicking through screens, and muttering “just one second” for the fourth time? AI agents eliminate most of those pauses. While the conversation is happening, artificial intelligence is working in the background – pulling relevant information, suggesting responses, and flagging important details. The agent never has to stop the conversation to go hunting for answers. The result? Customers feel heard and helped immediately. Conversations flow naturally instead of feeling like a stop-and-go interrogation.
Understanding Intent, Not Just Words
Traditional systems wait for keywords. Customer says “refund” and the system pulls up the refund policy. But what if the customer actually wants to exchange the item or just understand why they were charged? Modern AI agents use natural language understanding to grasp what customers actually mean, not just what they’re literally saying. Someone calling frustrated about a billing issue might not use the word “billing” at all – they might say “I got charged twice” or “my card was hit for something I didn’t order.” AI catches that intent instantly and routes the agent in the right direction from the very first sentence. No twenty questions. No asking customers to repeat themselves. Just immediate understanding.
Personalization at Scale
Here’s something customers have started expecting: for you to already know who they are and what they need. “I ordered something last week and it hasn’t arrived” shouldn’t trigger a five-minute interrogation about order numbers, email addresses, and shipping addresses. AI agents can instantly pull up customer history, recent orders, past interactions, and even previous issues they’ve had. Your agent sees everything relevant the moment the customer identifies themselves. They can say, “I see your order from last Tuesday, it was supposed to arrive yesterday via FedEx, let me check what happened” – all within the first 30 seconds of the call. That’s the kind of smooth, personalized experience that turns routine transactions into memorable service moments.
Proactive Problem Solving
The best customer interactions aren’t just reactive – they’re proactive. AI agents can identify patterns and potential issues before customers even mention them. Customer calling about a product feature? AI might flag that there’s a common compatibility issue with that model and suggest the agent mention it proactively. Someone asking about their order status? AI can surface that similar shipments in their area have been delayed and automatically suggest the best resolution. This proactive intelligence transforms agents from problem-solvers into trusted advisors who anticipate needs.
Consistent Quality Across Every Interaction
We’ve all experienced wildly different service quality depending on which agent we reach. Some are amazing, some are clearly new, and some are having a really rough day. AI agents help level that playing field. Every agent – whether they started yesterday or have been there ten years – gets the same intelligent support, the same knowledge access, and the same guidance. Customers get consistent, high-quality service regardless of who picks up the phone.
Speed Without Sacrificing Empathy
Here’s where AI really shines: it makes interactions faster without making them feel rushed. Agents can spend less time searching for information and more time actually connecting with customers. They can focus on listening, showing empathy, and building rapport because the AI handles the mechanical stuff in the background. Faster resolution times. Better customer relationships. It’s not a tradeoff anymore.
Think Co-Pilot, Not Autopilot
Let me be clear about something upfront: we’re not trying to replace your agents. Anyone who tells you AI should handle everything alone has never dealt with an angry customer at 4:47 PM on a Friday. What Dialshree does is sit right next to your agent – digitally speaking – and act like that super-experienced colleague who always knows the answer. You know the one I mean. The agent who’s been there for years, knows every product inside out, and can smell an upsell opportunity three sentences into a conversation.
It Actually Listens to the Conversation
While your agent talks to the customer, our AI is processing the conversation in real-time. Not just catching keywords like some glorified search function, but actually understanding what’s happening. The customer’s frustrated about a delayed shipment? The AI already knows which shipping carrier was used, sees there was a weather delay in their region, and pulls up the resolution protocol before your agent even asks. This is natural language processing doing what it’s supposed to do – understanding context, not just words.
Knowledge That Finds You
Here’s a question: how many different systems does your agent need to check during a single call? Three? Five? More?With Dialshree, the information comes to them. The AI pulls from your CRM, your knowledge base, your product database, your policy documents – everything – and presents exactly what’s relevant to this specific customer’s situation. No searching. No guessing. No “can you hold for just one moment?”
AI-Powered Post-Call Intelligence That Actually Helps
Here’s where Dialshree goes beyond just helping during calls – it transforms what happens after them. Most contact centers have the same problem: supervisors drowning in call recordings, trying to spot-check quality, and hoping they catch the important stuff. It’s like looking for needles in haystacks, except the haystacks keep getting bigger every day. Dialshree’s after-call voice analysis changes that completely.
Automatic Call Ratings – Every single call gets analyzed and rated by AI. Not just flagged for keywords, but actually evaluated on things that matter: Did the agent follow proper procedures? Was the customer’s issue resolved? How was the tone and empathy? Your supervisors can instantly see which calls need attention and which demonstrate best practices – without listening to hours of recordings. Complete Transcriptions – Every conversation is automatically transcribed. Need to find every call where a customer mentioned a specific product issue? Search for it. Want to review how agents are explaining your new return policy? Pull up every relevant conversation in seconds. No more scrubbing through audio files hoping you find the right moment. Predictive Analysis – This is the part that senior leaders really appreciate. Dialshree doesn’t just tell you what happened – it shows you patterns and predicts what’s coming. Which agents are trending toward burnout based on their interaction patterns? Which customer issues are starting to spike before they become major problems? What training gaps exist across your team? It’s like having a QA analyst reviewing every single interaction and providing strategic insights, except it happens automatically and continuously.
Suggestions That Make Sense
Every successful contact center has patterns. You know them even if they’re not documented anywhere. Certain product issues almost always need specific solutions. Some customers respond better to particular approaches. The best agents develop intuition about these things over time. Dialshree captures that intuition and makes it available to everyone. Based on thousands of successful interactions, it suggests the next best step. Not in a pushy way, but like a helpful nudge. “Hey, customers with this issue usually need X, and here’s how to position it.”
What This Actually Means for Your Operation
Let’s talk real outcomes, not marketing fluff.
Your Agents Actually Resolve Issues Faster
When I say faster, I don’t mean your agents are rushing people off the phone. I mean they’re not wasting time hunting for information or second-guessing themselves. Most of our clients see handle times drop by 20-30%, but here’s the key part – their first-call-resolution rates go up at the same time. Faster AND better. That’s not a tradeoff you usually get.
New Agents Stop Looking Lost After Week Two
Training new agents is expensive and stressful for everyone involved. With AI assistance, your new hires have a safety net. They’re getting guided through interactions, learning the right processes in real situations, and building confidence faster. I’ve watched new agents go from terrified to competent in half the time it used to take. That’s not an exaggeration.
Consistency Stops Being a Dream
You’ve got some agents who are absolute rockstars. And then you’ve got everyone else trying to get to that level. Dialshree helps level up the entire team by making best practices available in every interaction. Your brand voice stays consistent. Your policies get applied correctly. Nobody’s winging it.
Your Agents Actually Like Coming to Work
This might be the most important part, and it’s something nobody tracks on a dashboard. When agents feel supported instead of scrutinized, when they have the tools to succeed instead of the pressure to figure everything out alone, they stick around. We’re in an industry with notorious turnover rates. Anything that makes agents feel more capable and less stressed is worth its weight in gold.
Let Me Paint You a Picture
Customer calls in, clearly annoyed. They were charged twice for their last order. Your agent pulls up the account, and before they’ve finished reading the customer’s name, Dialshree has already:
Identified the duplicate charge from last week
Found two similar cases from the past month with the same root cause
Pulled up the exact refund protocol with the right authorization codes
Flagged that this customer has been with you for three years and never complained before
Your agent immediately acknowledges the issue, apologizes sincerely, processes the refund, and proactively applies a courtesy credit because the AI suggested it based on customer tenure. Total call time: under four minutes. Customer sentiment: from angry to appreciative. Without AI assistance? That’s a supervisor escalation, a callback, and probably a lost customer.
The Technical Stuff (Without the Jargon Overload)
Dialshree isn’t just a bolt-on tool – it’s a complete contact center solution built with AI agent assistance at its core. Whether you need to deploy on-premises, in the cloud, or in a hybrid configuration, Dialshree adapts to your infrastructure requirements. We’ve implemented it in organizations running everything from legacy PBX systems to cutting-edge cloud architectures. The platform is designed to work with your existing ecosystem, not force you to rebuild everything.
Here’s what makes the technical foundation solid:
Intelligent Voice Analysis – The AI learns from your data specifically post call for call review. It’s not generic responses from some massive database that doesn’t know your business. Every call, every resolution, every customer interaction trains the system to be more effective for your specific operation. Enterprise-Grade Security – We’re not messing around with security. Everything follows enterprise standards, role-based access controls, full audit trails – all the compliance stuff you need to sleep at night. Whether you’re handling payment card information, protected health data, or just want to ensure customer privacy, Dialshree is built to meet stringent security requirements. Seamless Integration Architecture – Dialshree integrates with your CRM platforms, ticketing systems, knowledge bases, and workforce management tools through modern APIs and pre-built connectors. We support integration with major platforms like Salesforce, Microsoft Dynamics, ServiceNow, Zendesk, and custom enterprise applications. The goal is to create a unified agent desktop where everything they need is accessible without jumping between multiple systems. Flexible Deployment Options – Need a fully cloud-based contact center? We’ve got you covered. Regulatory requirements demand on-premises infrastructure? No problem. Want to start cloud and keep certain components on-prem for compliance? That works too. Dialshree gives you the flexibility to deploy in the way that makes sense for your business and compliance needs.
Where We’re All Headed
Customer expectations aren’t going backward. They’re going to keep expecting faster, smarter, more personalized service. The contact centers that figure out how to deliver that consistently – without burning out their agents in the process – are going to win. AI Agent Assistance isn’t some futuristic concept anymore. It’s here, it works, and the gap between organizations using it effectively and those ignoring it is growing wider every quarter.
So What’s Next?
Look, I get it. You’ve probably sat through a dozen demos this year promising to solve all your problems. Everyone’s got AI something-or-other to sell you. The difference is whether the solution actually understands what your agents need and what your customers expect. Whether it fits into your real-world operation without requiring you to rebuild everything. Whether it makes your agents’ lives easier instead of just giving you prettier reports. If you want to see what Dialshree’s AI Agent Assistance actually does – not in a polished demo environment, but with scenarios from your actual contact center – let’s talk.
Reach out to Elision today. We’ll show you exactly how this works with your setup, your challenges, your goals.
Because at the end of the day, this isn’t about the AI. It’s about giving your agents what they need to do their jobs brilliantly. And that’s something worth investing in.
Your agents are on the front lines every day. Isn’t it time they had backup that actually helps?
You know those moments in a company’s life when you just know things are about to change? That’s where we are right now at Elision Technologies. GITEX Global 2025 is happening in October, and honestly, we can’t quite believe we’re about to take our solutions to what’s basically the Super Bowl of tech events. We’re partnering with Ben Infotechfor this, which makes it even better. What we’ve built over the years – VoiceLink, our contact center platforms, all the AI stuff we’ve been perfecting – it’s all going on display at the Dubai World Trade Centre from October 13 to 17. And I’m not gonna lie, there’s equal parts excitement and nervousness in the air around here.
Presence at Largest Tech Event GITEX Global 2025! Why Now?
Look, there are tech conferences, and then there’s GITEX Global. We’re talking about 6,000+ exhibitors and somewhere north of 180,000 people walking through those halls. It’s massive. It’s overwhelming. And it’s exactly the platform we need to expand our global footprint. Here’s the thing – we’ve spent the last few years perfecting our solutions for the Indian market. The complexity of it, the diversity, the unique challenges businesses face here. And somewhere along the way, we realized something important: the problems we’re solving have global relevance. Different languages, sure. Different regulations, absolutely. But the core challenges businesses face with customer communication? They’re universal. That’s what makes this Dubai opportunity so strategic. We’re not going there just to showcase what we’ve built. We’re going there to open doors to new markets, forge partnerships with international players, and position Dialshree as a global solution. The Middle East, Africa, Southeast Asia – these are markets hungry for scalable, intelligent communication platforms, and GITEX puts us right in front of decision-makers from these regions. This is about taking Elision Technologies from a strong regional player to a recognized global brand. We’re ready to compete on the international stage, and GITEX is where that journey accelerates.
What We’re Actually Bringing
I’ve been to enough tech events to know that everyone shows up talking about “revolutionary AI” and “game-changing cloud solutions.” Half of it is vaporware. The other half works in demos but falls apart in real-world conditions. We’re taking a different approach. Everything we’re demonstrating at GITEX Global 2025 is already used by industry leaders. Our systems are handling millions of customer conversations across India. That’s not a projection or a promise. That’s reality. Take our unified contact center platform. It sounds technical, but really it’s solving a problem every growing business has dealt with – customers reaching out through phone, email, WhatsApp, chat, social media, and you’re trying to keep track of everything across five different systems. It’s chaos. Context gets lost. Customers have to repeat themselves. Your team wastes time switching between platforms. We’ve consolidated all of that into a single dashboard. And before you ask – yes, it actually works under pressure. Flash sales, complaint surges, whatever gets thrown at it. The AI voice analysis stuff is what really gets people interested though. We had a banking executive tell us a few months back that it’s “like giving every customer service agent the ability to read minds.” That stuck with me because it’s actually a pretty accurate description. The system doesn’t just transcribe what customers are saying – it picks up on how they’re feeling, whether they’re getting frustrated (even when they’re being polite about it), when they’re genuinely interested versus just being courteous. All in real-time. And then there’s the predictive dialing system. This one’s all about efficiency. Traditional call centers waste an insane amount of time on busy signals, voicemails, disconnected numbers. Our AI predicts the best times to call, manages multiple connections simultaneously, and basically ensures agents are spending their time actually talking to people instead of waiting for phones to ring. We’re seeing productivity increases of 200-300%, which sounds almost too good to be true until you realize how inefficient the old way actually was. All of this runs on VoiceLink, which is our ultra-low-latency voice streaming platform. Think of it as the foundation that makes everything else possible – clear call quality even when traffic spikes unexpectedly, real-time intelligence that powers the AI features, scalability that doesn’t choke when you suddenly need to handle triple your normal volume.
Five Days of Innovation: Our Agenda for GITEX Global 2025 Day One: The Amazing Start
If you’ve never been to something like GITEX, day one is… a lot. You walk in and there’s just this energy everywhere. Companies demonstrating things that look like actual magic. Robots that make you question what decade you’re living in. Security solutions that make you paranoid about everything you’ve ever clicked on. But here’s what I’m actually most interested in: the conversations with business leaders from the Gulf region – UAE, Saudi Arabia, Egypt, you name it. Because I’m willing to bet they’re going to describe the exact same challenges we’ve been hearing from companies in Mumbai and Bangalore. Different market, same fundamental problems. That’s when you know you’ve built something that actually matters – when the problems you’re solving transcend geography.
Days Two and Three: Where the Real Work Happens
The magic of events like GITEX doesn’t happen on stage during keynotes. It happens in those impromptu 20-minute conversations at your booth when someone stops by because they’re facing a problem you’ve already solved. We’re expecting to talk with telecom operators who are trying to figure out AI integration. Banking executives who are beyond frustrated with their current IVR systems. E-commerce companies are drowning in support tickets during sale seasons. Healthcare providers juggling patient communications across way too many channels. And honestly? When we show them how our unified contact center brings everything together – voice, email, chat, social media, all of it in one place – the response is usually immediate. You can see it click. People are exhausted from trying to manage fragmented systems that don’t talk to each other. The AI voice analysis demonstrations tend to spark longer conversations. There’s something about seeing emotion detection work in real-time that makes people lean in and start asking really specific questions about their particular use cases.
Day Four: Staying Humble, Staying Curious
Here’s something I think is really important about GITEX – yes, we’re going there to showcase what we’ve built, but we’re also going to learn. There will be competitors doing interesting things. Partners exploring angles we haven’t thought about. Startups with ideas that seem wild but might actually change everything. That’s the kind of environment that keeps you sharp. It’s easy to get comfortable when things are working well. Events like this remind you that standing still is the same as moving backwards.
Day Five: Wrapping Up, Looking Ahead
The last day of any major event has this weird bittersweet vibe. Your feet are killing you. You’ve had more coffee than is probably healthy. You’ve explained your product so many times that you could probably do it in your sleep. But you’re also energized. Because you’ve made connections that might turn into partnerships. You’ve gotten feedback that’ll shape your next six months of development. You’ve validated ideas you weren’t totally sure about. For us and Ben Infotech, day five will be about making sure we follow through on all those conversations. Consolidating contacts. Setting up follow-up calls. Planning how we’re going to support the Middle Eastern companies who are interested in what we’re building.
Why the Middle East Actually Makes Perfect Sense
The Gulf region is interesting because they’re not trying to catch up technologically – in a lot of ways, they’re ahead. Government digital transformation initiatives there are massive. Investment in cutting-edge technology is serious. There’s a genuine appetite for solutions that actually work. And here’s what strikes me as almost funny: the conversations we’re expecting to have in Dubai are probably going to sound remarkably similar to conversations we have every week in India. Sure, the languages are different. The regulatory environments aren’t identical. But the core needs? Pretty much the same. Businesses everywhere need systems that scale without falling apart. They need support that actually understands their context. They need solutions that integrate with what they already have instead of requiring them to rip everything out and start over. That’s what we’ve gotten really good at in India – navigating complexity. TRAI compliance, regional language requirements, infrastructure that needs to work reliably everywhere from Mumbai to tier-3 cities. That expertise translates directly to the Middle East with its own set of complexities.
What Comes After GITEX
Look, GITEX isn’t an endpoint for us. It’s more like a checkpoint. A moment to take stock of where we are and get clear on where we’re headed. We’re going to Dubai with production-ready solutions, case studies from Indian implementations, a strong partnership with Ben Infotech, and technology that can compete with anyone. We’re coming back with leads, partnership opportunities, market validation, and hopefully some new ideas we hadn’t thought of before. The bigger picture here is that Elision Technologies is evolving. We started focusing on the Indian market because that’s what we knew. But the problems we’re solving, the approach we’re taking – combining global technology standards with local expertise – that’s relevant everywhere. For our existing customers, us being at GITEX is validation. The solutions you’re using aren’t just good enough for India – they’re good enough to showcase on the biggest global stage in tech. For businesses who are still figuring out their communication technology strategy – whether you’re in India, the Middle East, or anywhere else – this is us saying we’re ready to be your long-term partner as you grow.
Conclusion
From October 13-17, a lot of the tech world will be focused on Dubai. We’ll be there – booth set up, demos running, ready to talk about unified contact centers, AI voice analysis, DNCR API, Greeter- A virtual receptionist, and everything else we’ve built. If you’re attending, stop by. Let’s talk. Even if you’re not in the market for new solutions right now, I think you’ll find what we’ve built interesting. And if you’re not going to be in Dubai, follow along. We’ll be sharing updates throughout the event. Because this isn’t just about Elision Technologies going to a trade show. It’s about Indian innovation showing up on the global stage and holding its own.
That’s something worth paying attention to.
Connect with us at GITEX Global 2025 or reach out if you want to learn more about transforming customer communication.
Customer experience is key for every business success. Customers today expect instant responses, personalised service, and 24/7 availability. However, traditional call centres have outdated processes, increasing call volumes, and staffing limitations, tends to frustrated customers, overwhelm agents, and miss revenue opportunities, though can not meet these demands. According to Salesforce, 78% of customers expect consistent interactions across departments, but only 50% say it actually happens.
AI in contact centres is more than being a futuristic idea to becoming a core part of running an efficient, modern support operation. Yet, many organizations are still hesitant to embrace it. Avoiding AI has significant consequences, ranging from inefficiency and excessive costs to compliance gaps and reputational harm. Gartner predicts that by 2026, 70% of customer interactions will involve AI-driven solutions. This article will give you the seven major risks associated with avoiding AI in call centres, which can disrupt the growth. We will also discuss best practices and how Elision Technologies can help businesses tackle these challenges.
Why Call Centers Struggle to Keep Up?
Today’s customer expectation fulfilment is a challenge for even the most well-staffed contact centres. Call canters delayed responses and inconsistent service happen due to increasing call volumes, long wait times, and limited resources. Furthermore, they have lack of access to important customer data and compliance restrictions too which make it difficult for businesses to deliver the smooth experience which meets customer expectations.
Customers resent being put on hold due to High call traffic and extended wait times.
Manual staffing increases the cost per encounter which is rising operational costs.
Repetitive duties lower morale and productivity, leading to fatigue and attrition of an agent.
Without real-time intelligence, client experiences become inconsistent, as interactions vary from one agent to another.
Regulatory pressure: Strict compliance laws demand accurate call handling and reporting.
Data overload: Vast amounts of call data go unused due to a lack of analytics tools.
Risks of Avoiding AI in Call Centres
1. Poor customer experience.
Today nobody wants their time for a minute so Customers want instant resolutions and dedicated agent service. Nearly 90% of consumers say an immediate response is important when they have a customer service question (HubSpot). This is main thing call centres facing without Artificial Intelligence:
Long average handling times (AHT)
Limited personalisation owing to a lack of customer insights.
Inconsistent service among agents
This results in disappointed consumers, unfavourable reviews, and decreased loy
2. Increasing operational costs.
When a business has manual call handling they require high numbers of agents. Without AI automation, more agents are required to manage the same call traffic.
Overtime and absence drive up expenditures.
Peaks in call traffic overwhelmed operations.
As a result, the cost per call increases while profitability decreases.
3. Low agent productivity and high attrition.
Repetitive procedures like FAQs, order monitoring, and appointment confirmations consume agent time. Without AI, agents feel underutilised and disinterested.
High turnover rates raise recruiting and training costs.
Skilled agents devote less time to significant, sophisticated requests.
4. Inefficient Call Handling and Reporting
Call centres lack intelligent routing, predictive analytics, and automated reporting due to AI implementation. Call center attrition rates often range between 30–45% annually, largely due to repetitive tasks and stress (ContactBabel). This creates:
Longer wait lines.
Poor first-call resolution (FCR).
Inaccurate decision-making resulting from insufficient reporting
5. Scalability Challenges
When call numbers increase, existing systems suffer. Without AI, call dropouts and long wait times grow. During festive or sales seasons, call volumes can spike by more than 40%, leaving traditional call centers struggling to keep up (CCW Digital).
Call centers scaling involves costly infrastructure and resources.
Seasonal demand peaks often disrupt consistency, leading to irregular service and longer wait times for customers.
6. Security and Compliance Risks
Manual methods are more vulnerable to compliance issues and data mismanagement. Risks include violations of Do Not Call (DNC) and Do Not Disturb (DND) lists. In 2023 alone, companies paid over $200 million in fines for TCPA and data privacy violations in contact centers (FTC Report).
Inaccurate consent management
Higher chance of data breaches due to human mistake.
7. Brand Reputation Damage
A single negative contact might swiftly lead to social media outrage. More than 60% of customers say they will switch to a competitor after just one or two poor service experiences (Zendesk). This techniques without ai to maintain consistency:
Customer trust diminishes.
Negative reviews hurt brand impression.
Competitors that provide AI-driven help win over disgruntled clients.
Legal and Compliance Risks of Poor AI Adoption
AI can make call centers faster and more efficient, but it’s not without responsibilities. If not implemented carefully, businesses can run into legal and compliance issues, including data privacy violations, improper consent management, biased algorithms, and breaches of telemarketing regulations. Paying attention to these areas is crucial—not just to avoid fines, but also to maintain customer trust and protect the company’s reputation.
Telemarketing laws (TCPA compliance): AI-generated calls must have proper consent.
AI disclosure: Some jurisdictions require informing customers that they are interacting with AI.
Voice data and biometric privacy: Collecting or analysing voice prints must follow consent laws.
Bias and fairness audits: AI algorithms must be monitored to prevent discrimination
What’s the takeaway? The risk is not in using AI, but in avoiding it—or in applying it without competent advice.
How Elision Technologies Can Help Call Centres Overcome These Risks
Elision Technologies specialises in AI-powered, compliance-ready call centre systems that prioritise scalability, efficiency, and customer satisfaction. Here’s how we can assist overcome the aforementioned challenges:
1. AI-driven customer experience.
Intelligent IVR and voicebots: Provide quick replies to reduce wait times.
AI analytics enables personalised interactions.
24/7 availability to support global customers anytime.
2. Cost Optimization Through Automation
Automate FAQs, reminders, billing, and routine queries.
Reduce dependency on large agent teams.
Lower operational costs without compromising service quality.
3. Empowering Agents to Reduce Attrition
AI handles repetitive tasks, allowing agents to focus on complicated requests.
Real-time coaching and sentiment analysis enhance performance.
Happier agents mean better retention.
4. Intelligent Routing & Reporting
Skill-based routing ensures customers reach the right agent.
Real-time dashboards & analytics enable accurate decision-making.
Predictive analytics helps to anticipate customer requirements.
5. Scalable & Resilient Infrastructure
Cloud-based architecture responds instantly for call volume spikes.
Disaster recovery and redundancy ensure uptime.
Cost-effective scalability without heavy hardware investments.
6. Built-in Security & Compliance
Automated DNC/DND list management.
Manage call recording with two-party consent compliance.
Secure storage and management of voice/biometric data.
Compliance audits conducted at the vendor level.
7. Preserving Brand Reputation
Consistent and reliable service with AI-powered performance monitoring.
Smart notifications help to quickly resolve escalations.
Positive, smooth experiences that convert consumers into promoters.
Best Practices for Implementing AI in Call Centers
AI implementation at a contact centre involves more than simply deploying technology into place; it involves carefully incorporating it into your business processes to boost productivity, boost customer happiness, and guarantee compliance. 81% of customers say trust in a brand is a key factor in their buying decisions (Edelman Trust Barometer). Businesses should adhere to these best practices in order to accomplish these goals:
Start Small and Scale Gradually: Start with basic, repetitive chores like FAQs, billing enquiries, and status updates. This enables teams to evaluate AI performance, acquire insights, and make modifications before moving on to more complicated activities.
Balance AI with Human Empathy: While AI is great for automation, people are still required for complicated, emotional, and sensitive relationships. Creating a hybrid approach improves efficiency while preserving the personal touch.
Disclose AI Usage Transparently: Simple disclosures, such as “You are now interacting with an AI assistant; you can request a human agent at any time,” increase trust and engagement. Agents should be trained to collaborate with AI tools, which includes understanding how to evaluate AI ideas, escalate concerns, and exploit AI insights. Proper training ensures that AI increases productivity rather than causing confusion or resistance.
Train Agents to Collaborate with AI Tools: Agents should understand how to interpret AI suggestions, escalate issues, and leverage AI insights. Proper training ensures AI enhances productivity rather than creating confusion or resistance.
Regularly Audit for Compliance and Bias: Regular audits of AI workflows assure regulatory compliance and fair, impartial decision-making. Audits can also assist discover opportunities for model improvement.
Secure Customer Data: AI relies on customer data to perform properly. Encrypting this data, restricting access, and holding vendors accountable are critical for maintaining confidence and compliance.
Continuously Monitor KPIs and Optimize Models: AI systems perform best when measured against important metrics like average handling time, first call resolution, and customer satisfaction. Continuous monitoring enables adaptations to changing company demands.
Conclusion
Avoiding AI in call centres is no longer an option now, you face some consequences too, including poor customer experience, growing costs, human fatigue, inefficiency, and reputational impact. For call centers it can be more difficult if there AI without compliance.
Elision Technologies provides organisations AI-driven automation and analytics combined with enterprise-grade security and compliance. Our technologies let businesses expand effectively, empower people, cut expenses, and provide client experiences that strengthen.
👉 Ready to future-proof your call center?Talk to Elision Technologies today and unlock the power of AI for smarter, compliant, and customer-first communication.
In today’s banking and finance landscape delivering top-notch customer service is no longer a luxury. It’s a component, of survival and advancement.
As the industry faces competition from fintech players and evolving customer demands traditional financial institutions are under pressure to enhance the overall client experience. Despite this urgency, many standing firms still grapple with outdated systems that hinder communication across various channels.
The implications are substantial. Studies indicate that subpar customer service leads to losses exceeding $75 billion annually with dissatisfied customers deterring approximately 15 others from engaging with a business.
Conversely, exceptional service translates to increased revenue and enhanced customer loyalty. In the realm of banking and finance quality service directly impacts customer acquisition, retention rates and overall trust.
To address these hurdles head-on industry leaders are increasingly turning towards customer engagement platforms driven by AI and machine learning technologies. When implemented thoughtfully these solutions facilitate responses, interactions across multiple channels personalized experiences tailored to individual preferences and ongoing refinements, for optimal performance.
However, merely adopting tech tools is insufficient. Companies must also adopt an approach centered on prioritizing customer needs at every touchpoint and interaction.
This article delves into the steps banks and financial institutions can take to enhance client communication in today’s demanding landscape. By implementing the strategy and platform they can provide services on a larger scale while improving efficiency and managing costs effectively.
To achieve this, leaders need to challenge outdated practices and prioritize customer approaches. Those financial institutions that embrace change will emerge as the frontrunners of tomorrow while those reluctant to adapt risk being left behind. The decision is crystal clear.
Obstacles, in Ensuring Exceptional Service
The task of delivering top-notch customer service has become increasingly complex for banks and financial entities. Modern customers expect seamless service round the clock and swift issue resolution. However outdated systems hinder agents from accessing customer profiles and transaction histories leading to disjointed experiences and dissatisfied clientele.
Key challenges confront banks and finance institutes:
Rising Customer Expectations
Customers demand tailored services across platforms expecting agents to recognize them individually and cater to their needs. Yet many banks struggle with dispersed data, across systems hindering a view of each customer.
Shifting Demographics
Millennials and Gen Z customers favor self-service options. Banks are being encouraged to provide customer service through channels such, as chat, social media, WhatsApp and SMS based on customer preferences.
Yet many banks have not fully embraced omnichannel interactions. Comprehensive omnichannel contact centre platforms may do a trick here, book a free demo now!
Challenges with Handling Volume
When call volumes peak customers get frustrated waiting on hold for periods. However, just hiring staff is not always a solution due to cost and inefficiency. Banks require systems of understanding customer needs and automating repetitive tasks. Tailored chatbot workflows can save phone bankers significant time, freeing them up for more productive activities.
Data Fragmentation
Customer information is often scattered across systems for banking services, loans, credit cards, etc. This fragmentation makes it hard for agents to grasp a picture of the customer relationship without switching between systems.
To a certain extent, having all the key and important client information readily available is crucial during live customer calls. To consistently provide notch personalized service banks need to reconsider their approach to engaging with customers and the technology they use.
Challenges Posed by Outdated Systems
Banks and financial institutions still rely on outdated legacy systems that are rigid and obsolete in today’s digital world;
Rigidity
Legacy systems typically run on traditional on-premises software that is not easily adaptable or integrable, with new communication channels and touchpoints. These systems were primarily designed for call centre operations.
Lack the flexibility needed for modern omnichannel support. The transition of a conventional platform is difficult, and advanced contact center solution needs of the time; advancement is not the only factor, ‘ready-to-use modules’ will be a differentiator in today’s time.
No Unified Conversation
Legacy systems do not support omnichannel operations, which hinders the ability to connect insights, from channels for a customer experience. Agents may struggle with understanding the context of conversation when interacting on platforms such as the web, mobile, chat and email, hence 360’s customer profile will help to drive conversation easily and quickly.
Let AI work its magic
Yet another constraint is the reliance on manual efforts for improved quality and service. In today’s time, it is not advisable to invest time in listening to recordings and providing training to your agents. These tasks can be automated, allowing them to be completed even without being physically present at the workplace.
As a result of these shortcomings legacy systems fall short of meeting the expectations of consumers who seek personalized service across multiple touchpoints. This ultimately impacts customer satisfaction levels.
Advantages of AI-Powered Platforms
AI-driven customer service platforms offer advantages compared to legacy systems in enhancing communication and comprehension, with clients. Here are some key benefits;
Voice and Text Analysis
Artificial intelligence can analyze both voice and text interactions either in time or, after a call. This analysis can reveal insights such as customer emotions, potential compliance issues, transcripts agent adherence to scripts and more. It uncovers data that can be used to enhance efficiency.
Chat Assistance
Smart chatbots are designed to handle common customer queries without the need for intervention. They offer round-the-clock availability and through learning using machine algorithms they improve their ability to understand questions and provide responses over time. Chatbots play a role in reducing customer wait times. Freeing up agents to focus on complex problems.
Understanding Customer Behavior
By processing amounts of customer data AI models can detect trends identify patterns and extract insights. This deep understanding of customer behavior helps in recognizing their needs pinpointing areas of friction in interactions and uncovering opportunities for enhancements.
Empowering Client Communication
AI-powered platforms elevate client communication by offering omnichannel support, and advanced analytics capabilities as automation features. This results in interactions, with customers that are efficient scalable and tailored to individual needs.
A global bank successfully enhanced client satisfaction through an AI-driven communication platform as part of its transformation efforts. They aimed to provide more convenient customer service to improve the client experience.
Despite facing challenges, in handling a volume of customer inquiries efficiently at their call centers they sought ways to overcome this issue. Long wait times frustrated clients and overwhelmed agents were issues they encountered.
To enhance self-service options the bank integrated an AI-powered platform with features such as blended calling and intelligent IVRs along with functionalities like SMS and voice broadcasting.
The outcomes were remarkable;
Achieved 100% system uptime
Improved loan debt collection by 82.31%
Boosted agent productivity by 79.26%
This case study highlights how one organization revamped its customer engagement and interaction significantly. There are success stories, in our portfolio that showcase the performance and high customer satisfaction achieved through DialShree – AI-Driven advanced platform.
Banking is one of the most competitive industry verticals. There are so many banks, including private banks that are trying to attract customers to use their services and banking products. Thus, unlike traditional times when customers used to use services from specific government banks only, now customer experience and satisfaction have become vital. This is the reason each bank has put a customer care department within the bank using skilled banking agents and the best call center solution. There are multiple other banking communication solutions available other than the call center software that can help improve customer satisfaction for a bank. AI voice analysis tool for banks is one of the tools like that.
What is an AI voice analysis tool?
This tool is also referred to as an AI call center solution because it is an artificial intelligence-drive module that can be integrated into the call center solution.
The AI voice analysis tool for banks analyzes each call for quality based on predefined parameters such as:
Usage of positive words
Tone of voice
Emotions in the voice
Silence in the conversation
Verbose minutes of conversation
And more
Based on these parameters, it gives an overall score along with scoring each individual parameter.
How does an AI voice analysis help banks to boost client satisfaction?
This quality assurance tool can boost client satisfaction in multiple ways. Let’s check how.
1. It checks each and every call for quality
Unlike a manual analysis system, in which the manager checks only some random calls, the AI call center solution will analyze each call for quality assurance. This tool will ensure that none of the quality of service-related mistakes are overlooked. Thus, it helps in taking care of each client and the experience delivered to him or her to improve overall and individual banking customer experience.
2. It highlights unspoken signs of client experience
It is easy to decode a client’s frustration when he or she gets angry and shouts at a banking executive, but it is difficult to decode whether a customer is happy, sad, or upset with the banking services if he or she is not using those kinds of words in his conversation. The AI voice analysis tool for banks can analyze the tone and emotions in the voice to highlight when a client was upset or disappointed with the answer of the banking agent. This helps in improving conversation style and decoding unspoken emotions of clients to deliver better customer service.
3. Improve training
Agents handle banking clients, so they must be trained for rectifying their mistakes. The AI voice analysis tool provides details on individual mistakes. This helps in training agents based on specific mistakes they might be making during a call. This helps in improving the customer care standards in banks and boosts client satisfaction.
If you are interested in exploring more about a banking call center solution and AI voice analysis for banks to boost customer satisfaction, we can help you. Contact us to initiate the conversation.
The banking industry is undergoing a digital transformation, omnichannel is no more a luxury, it’s a need now, as we are delving into the most evolving technological era, technology is the fastest field that’s evolving – Thanks to AI.
Customers always loved to pamper, not only with offers but also with great personalized communication, why are we saying that?
Banking consumers have become smarter than ever,
Customer experience isn’t just limited to have conversation or getting information about their transactions or accounts, it has evolved to much crunched interactions between phone bankers and customers, let’s understand how?
Every interaction is an opportunity for the bank and so for agents – Yes, we all know that!
But real-time agent assistance may help your customer facing team on front foot! And the real time guidance tool may turn every interaction into potential business opportunities.
What is Live Agent Assistance and it can be super helpful with Contact Center as a Service(CCaaS)?
This integrated module by Elision may turn your normal contact center into game changing AI driven platform with assured quality during live call and post call. Let’s discuss its major features,
Ensuring compliance with on-the-spot guidance.
Optimizing conversations through scripted support.
Early detection of potential service issues.
Quick-reference tools for handling complex interactions.
Access to accurate, AI-curated information.
Instant insights driven by customer data.
Dynamic recommendations for communication scripts.
Real-time transcription to overcome language barriers.
360’ Customer Journey mapping to AI driven curated conversation could be a perfect combo which may lift the conversation bar by 10x. Let’s understand how it works.
Experience heightened banking service efficiency and precision with Real-Time Agent Assistance.
From the moment a client engages with a banking agent, a synchronized process is initiated.
The conversation embarks on its journey, initially through an advanced automatic speech recognition system, transforming spoken words into text with remarkable speed, setting the stage for the subsequent phase.
In the interim stage, a thorough analysis of the spoken and transcribed word occurs, where the speech and text are analyzed based on various factors. As the evaluation unfolds, the spoken elements concurrently integrate with the system’s understanding, paving the way for the next pivotal step.
Subsequently, as the words transition into actionable insights, they undergo scrutiny by a sophisticated Gen AI engine, where Agent Assist’s innovative tools dissect and interpret the information platform provides insights and information in almost no time. Whether it’s for immediate guidance or strategic support via battle cards.
Ultimately, with these curated insights at their disposal, banking professionals are empowered with their efficiency, deepening customer trust and amplifying both client and agent fulfillment.
Yes, this entire process happens in fraction of seconds during live call.
Enhancing Customer Service with Real-Time Agent Assistance: A Game Changer for Banking & Finance Institutes,
In the fast-paced world of banking and financial services, providing top-notch customer service is paramount. The introduction of AI-driven real-time agent assistance systems, like Elision, has revolutionized how customer interactions are managed, elevating both the efficiency and quality of service provided.
Let’s delve into the key features of such systems and how they’re transforming customer service in the BFSI sector.
Immediate Guidance and Action Recommendations
At the core of AI-driven agent assistance is the capability to offer real-time guidance and recommend the next best actions during live customer interactions. This means that, as a conversation unfolds, the system can analyze the context and advise agents on the most effective course of action, even before the call concludes.
Integration with CRM systems further streamlines workflows by updating databases in real-time, significantly cutting down on post-call tasks.
Script-Guided Conversations
Maintaining a structured and effective conversation flow is crucial. Real-time agent assistance systems provide agents with guided scripts that keep them on track, ensuring important details are addressed and enhancing the overall call quality by reminding the customer facing team of missed critical points.
Proactive Alerts for Enhanced Interactions
Intelligent systems proactively alert phone bankers about potential missteps, such as talking over the customer or dominating the conversation. They offer real-time advice on handling various scenarios, especially when dealing with frustrated customers, ensuring a more respectful and understanding service is provided.
Contextual Support with Dynamic Battlecards
Dynamic battlecards offer real-time, context-sensitive support, triggered by specific customer phrases or concerns, helping agents navigate complex situations with ease. These cards are invaluable, especially for new agents, ensuring they’re prepared to handle calls confidently and effectively.
Comprehensive Knowledge Base
A readily accessible knowledge base, integrated with advanced generative AI, empowers agents to quickly find accurate and detailed answers to customer queries. This resource is essential for providing factual and timely information, directly impacting customer satisfaction positively.
Real-Time Transcripts and Live Captions
To overcome language barriers and ensure clear communication, real-time agent assistance systems offer live captions and complete transcripts of conversations. This feature is especially beneficial in managing calls with customers speaking in mixed languages (like Hinglish), facilitating better understanding and resolution of issues.
Streamlined Queries with ASK AI
The ‘ASK AI’ function harnesses generative AI to provide agents with immediate answers to an array of questions, saving significant time and enhancing efficiency. This feature allows for quick retrieval of information, crucial for fast-paced service environments.
BFSI decision-makers keen on driving their customer service standards and operational efficiencies forward should consider the strategic implementation of real-time agent assistance systems. These systems not only empower agents to provide exceptional service but also enhance customer trust and satisfaction, ultimately contributing to the organization’s success.
Real-time agent assistance systems can be a powerful tool for collections agencies,
This can prove pivotal in reducing Non-Performing Assets (NPA) by succeeding in critical moments. Additionally, it creates opportunities for upselling and cross-selling with real-time battle cards and on-point suggestions.
Let’s discuss how financial institutions can leverage this futuristic AI module to achieve their most significant KPI, which is increased collections:
Improved Negotiation with debtors
Collection agencies can benefit from real-time guidance during sensitive conversations with debtors. AI-driven suggestions provide agents with the best negotiation tactics and payment options tailored to the customer’s profile, ensuring a higher probability of securing a payment agreement. This is directly connected with higher ratio of PTP (Promise to Pay)
Enhanced Script Compliance and Risk Management
In the highly regulated collections industry, adhering to compliance standards is crucial. Real-time agent assistance can alert agents to potential compliance violations during a call, which helps avoid costly legal risks and maintain a professional standard of service.
Identification of Cross-Selling and Upselling Opportunities
While the primary goal of a collection agency may not be sales, there are instances where an agent can identify opportunities to offer additional services that could benefit the customer. For instance, when a customer has settled a debt, the agent may suggest other financial services or products that the parent company offers. There are certain chances where customers switch over for their further finance needs, this may help in customer retention as well.
Personalized Customer Experience
By understanding customer history and preferences through integration with CRM systems, agents can personalize the collections process. This establishes a more trusting relationship and opens up a line of communication where customers might be more receptive to additional offers.
Streamlined Follow-Up Process
The knowledge base and AI-driven prompts can provide agents with automated reminders or steps for follow-ups, ensuring that no opportunity for payment arrangements or related financial services is missed.
Dynamic Scripting for Retention
Agent assistance systems can provide dynamic scripting, which adjusts based on customer responses. This enables agents to handle objections more tactfully and can pivot to retaining the customer’s business or even offering other products when appropriate.
Data into actionable insights and feedback
With speech analytics and real-time feedback, agents can continuously improve their communication strategies, become more persuasive, and effectively handle calls, which is crucial for off line training of customer facing team as well as to achieve other contact center KPIs.
By integrating real-time agent assist features, collections agencies can ensure more effective collections calls, maintain compliance, and even identify additional revenue generation opportunities through cross-selling and upselling where suitable. Decision-makers in the BFSI sector should contemplate incorporating such technologies to maximize their collection efforts while also fostering additional business growth.
Conclusion:
AI going to be main stay, it’s just a tip of how Generative AI and integrated Conversation Analysis. From banking to collection agencies, their main stop is Omnichannel contact center platform integrated with AI driven Conversation analysis platform. It’s not their need of time but certainly their end customers’ need!
Contact centers play a role in today’s business landscape serving as the primary customer service platform for companies across various industries. With the growth of online shopping and rising customer demands contact centers have become essential for fostering connections and driving business expansion.
A contact center integrates individuals, procedures and technology to handle both outgoing customer communications. Agents engage with customers through phone calls emails, live chats, social media platforms and other channels to help, address concerns, process orders and more. Efficient contact centers enable businesses to provide service resolve issues promptly promote products and gather valuable customer feedback.
As the frontline of the customer experience journey contact centers significantly influence satisfaction levels, brand loyalty and overall reputation. Their operational effectiveness directly impacts a company’s performance. Therefore optimizing contact center functions stands as an objective for organizations today.
This guide presents strategies and recommendations for enhancing contact center productivity and improving the agent experience. Enhancing performance entails focusing on personnel management practices alongside processes and technological advancements.
Today, we will delve into recruiting talent implementing training programs and coaching sessions devising motivation tactics, for staff engagement while exploring cutting-edge tools among other essential touch points.
With this strategy, contact centers can enhance business growth by delivering customer experiences.
Assessing Efficiency
Efficiency is a parameter to monitor in contact centers. Some typical methods, for evaluating efficiency include;
Call Handling Time:
This measures the duration an agent devotes to managing a call or chat. A shorter handle time generally signifies efficiency provided that it doesn’t compromise quality. Most contact centers set a target handle time.
Adherence:
This gauges how agents adhere to their schedules. A high adherence percentage indicates that agents are handling the expected number of calls or chats during their shifts. Low adherence may indicate issues with schedules, staffing or agent motivation. Floor managers may need to conduct trial campaigns, for agent groups based on the process.
Utilization Rate:
This metric examines the proportion of logged in time that agents spend actively engaged in calls or chats. A high utilization rate suggests that agents are utilizing most of their time productively than being idle. An 80-90% utilization rate is a goal. Your platform should feature effective pause code reporting to monitor this rate.
Service level:
Service level measures the percentage of interactions that are answered within a specified time frame, such, as 30 seconds for phone calls or 20 seconds for chats. A high service level indicates that customers do not have to wait to connect with an agent. In line with behavior customers prefer not to wait than 20 seconds for a live agents response.
Average speed of answer:
This metric, closely linked to service level calculates the time customers spend waiting before their call is picked up or chat begins. A lower average speed of answer suggests increased efficiency in meeting customer needs.
First call resolution:
This is a KPI in the customer service sector measuring the percentage of customer problems resolved during the interaction without needing a follow up call or transfer. It also reflects efficiency in resolving issues
Agent Experience Factors
The experience of agents plays a role in contact center productivity. Motivated, engaged and satisfied agents tend to perform and deliver customer service. Here are some strategies to enhance agent experience;
Motivation:
Agents should be. Feel a sense of purpose in their work. Offer incentives such as rewards, recognition and opportunities, for career advancement. Acknowledge. Provide feedback on a regular basis.
Our system, for ranking assisted an well-known company in fostering competition among their representatives resulting in an increase in customer experience levels.
Employee Engagement:
Involved representatives demonstrate an interest in their work and the organization. Encourage engagement by showing appreciation to agents granting them independence and involving them in decision making processes. Foster. Open communication within the team.
Job Satisfaction:
Job contentment arises from finding fulfillment in ones work. Cultivate satisfaction by minimizing stress offering flexibility and maintaining workloads. Cultivate an atmosphere. Ensure that agents have the necessary tools for their roles; effective feedback mechanisms and appropriate call routing methods not only save time but also enhance satisfaction levels.
Wellness:
Promote physical well being through wellness initiatives ergonomic work environments and breaks. A healthy workforce is more engaged, efficient and less susceptible to burnout.
Balance Between Work and Personal Life:
Recognize boundaries between work life and personal life by avoiding overtime hours and allowing schedules when feasible. Acknowledge that agents have commitments beyond the workplace.
By concentrating on enhancing the agent experience through motivation satisfaction levels contact centers can achieve increased productivity rates, higher staff retention rates well as improved customer satisfaction levels.
Selecting the Right Personnel:
Choosing agents is essential, for enhancing contact center efficiency and agent experience.
Personality assessments and skill evaluations are steps, in the hiring process to guarantee that agents are a fit for the job.
Personality Assessments
These tests help evaluate whether an applicants natural characteristics and inclinations align with the requirements of a contact center position. For instance individuals who are outgoing, patient and empathetic tend to excel in customer service roles. There are validated personality assessments to gauge traits such as extraversion, emotional stability, agreeableness, conscientiousness and openness. These tests offer insights into how candidates will handle the challenges of the job.
Skill Evaluation
In addition to personality traits it is important for contact centers to assess candidates’ skills during recruitment. Essential skills include communication abilities, active listening skills, problem solving capabilities, technical expertise and stress management proficiency. Skills can be assessed through methods like interviews, tests, writing samples, presentations, role playing customer scenarios among others. Checking references also helps in understanding applicants skill levels. Only candidates showcasing the skills should progress further in the hiring process.
Effective Training on Products/Services:
Proper onboarding and continuous training play a role in equipping agents with the required knowledge and abilities to excel in their positions. An effective training regimen should offer comprehensive onboarding sessions, for hires covering processes within the contact center system usage guidelines, product/service details, soft skills enhancement, and company principles.
During the training period new employees typically undergo an onboarding process that spans over a few weeks and involves a combination of classroom sessions, job shadowing and practical hands on experience.
To ensure that agents are well equipped and continuously improving their skills regular refresher training is offered. These courses cover product knowledge, system updates, skill enhancements and compliance policies to keep agents informed and up, to date.
Additionally, coaching sessions and feedback from managers play a role in enhancing agent performance. Through one one-on-one coaching sessions, managers provide guidance to help agents excel in their roles. Feedback is essential for agents to understand their strengths and areas for development. In today’s evolving work environment leveraging AI technology for performance assessments has become imperative. DialShree’s AI driven voice analysis module has significantly reduced call analysis time by 91.86% while also boosting the First Call Resolution (FCR) ratio.
Equipping contact center agents with the tools can greatly impact their productivity and overall experience. Here are some essential tools to consider:
Bridge between right platforms:
A robust CRM system streamlines access to customer data for agents without requiring customers to repeat information. It offers a view of customer interactions across channels saving time for agents and enhancing customer satisfaction. When selecting a CRM system prioritize features like user interface design, omnichannel support capabilities and seamless integration, with systems.
Knowledge Bases
Knowledge bases play a role, in assisting agents in addressing customer queries without the need for transfers or callbacks. They help reduce the handling time and enhance the likelihood of resolving issues during the call. It is important to select a knowledge base that’s easily searchable and regularly updated. Covers a wide range of topics including products, services, processes and troubleshooting steps. Additionally empowering agents to contribute their knowledge can further enhance the effectiveness of the knowledge base.
Automation
Automation plays a role in streamlining operations by utilizing IVRs, chatbots and AI technology to handle inquiries. This enables human agents to focus on issues that require human intervention. Exploring speech analytics and text analytics can reveal opportunities for automation while ensuring that live agents oversee automated processes to ensure transitions when necessary. While automation boosts efficiency maintaining a touch through interaction remains essential.
Performance Management
Performance management plays a role in enhancing contact center productivity and agent satisfaction. Establishing goals providing coaching and feedback and aligning agent incentives are key components of effective performance management.
Goal Setting as per Nature of the Process:
Define measurable goals that align with contact centre performance indicators such as average handling time first call resolution rate and call waiting times.
Ensure that agents comprehend how their individual goals contribute to contact center objectives.
Collaborate, with agents to establish goals that’re both attainable yet challenging enough to drive motivation.
Coaching and Providing Feedback
Regularly offer guidance to agents through call monitoring observing alongside them and analyzing performance data.
Focus coaching efforts, on enhancing skills and achieving objectives than focusing solely on criticism.
Provide feedback to agents after calls to reinforce actions.
Organize one on one sessions weekly or monthly to discuss performance and areas for growth.
Incentives
Connect agent rewards and acknowledgments to meeting goals and performance standards such as through bonuses or awards.
Foster an incentive culture centered around teamwork than competition.
Maintain transparency regarding incentive qualifications and payouts.
Explore monetary incentives like extra paid time off or preferred scheduling options.
By setting objectives and linking coaching, feedback and incentives to performance outcomes agentsre encouraged to enhance productivity and elevate the customer experience.
Forecasting & Scheduling
Accurate forecasting ensures that the appropriate number of agents is scheduled to handle expected contact volumes at any given moment. Underestimating can lead to long wait times, high abandonment rates and dissatisfied customers.
On the hand overestimating results, in agents and unnecessary payroll expenses. Based on the process utilizing dialing methods could have an impact. Our esteemed clients, in the customer service industry with 40% adoption of this approach have seen an increase in agent efficiency up to 96%. Want to learn more?
Intraday Management
While no forecast is perfect effective real time intraday management is crucial. Keep an eye on performance indicators such as service levels, queue lengths, agent occupancy and customer satisfaction. Stay prepared to make adjustments like call routing modifications bringing in agents offering overtime or redirecting calls to locations as necessary to uphold service levels throughout the day.
Recognition
Introduce a peer-to-peer recognition program that allows agents to acknowledge each other for customer service and teamwork. This initiative helps cultivate a work environment.
Publicly recognizes performers during team meetings or newsletters. Highlight behaviours that you wish to promote.
Empower team leaders to offer informal recognition by appreciating agents who go the extra mile by staying late to assist with projects.
Career Development
Establish career paths and growth opportunities to retain agents. Provide training opportunities and challenging assignments for agents to enhance their skills. Implement training and mentoring programs that support agents in advancing their careers, within the organization.
Surveys
Regularly conduct employee satisfaction surveys for feedback collection.
Demonstrate your attentiveness by putting improvement plans into action based on feedback, from surveys. Inquire about factors that drive engagement such as recognition, opportunities for career advancement relationships with managers and more. Monitor engagement levels over time. Conduct follow-up surveys post-implementation of initiatives to gauge their impact. Remember, aligning goals with team goals is key to achieving success.
Establishing a Favorable Work Environment
A work environment plays a role in enhancing productivity and the overall experience of agents in contact centers. This positivity stems from leadership and permeates across the organization as a whole. Here are some suggestions for fostering a work culture;
Encourage Teamwork
Provide avenues for agents to collaborate and support one another. Consider implementing buddy systems for recruits or engaging them in group projects. Brainstorm solutions collectively as a team to foster a sense of value and involvement among agents.
Cultivate friendships and connections among agents through team building activities fostering camaraderie and mutual support.
Embrace Inclusion & Diversity
Prioritize diversity, in recruitment efforts. Varied backgrounds and perspectives contribute to creativity and problem-solving abilities within the team. Ensure all agents feel welcomed, respected and heard irrespective of gender, race, age or other differentiating factors.
By emphasizing leadership, teamwork, diversity and inclusion practices contact centers can cultivate a work culture that boosts employee satisfaction leading to improved customer experiences—ultimately resulting in heightened productivity levels.
Conclusion:
While platform progress can enhance returns, on investments and reduce the need for involvement customer satisfaction remains paramount as customers often favour interactions for their empathy and emotional value. Combining a touch, with communication platforms can yield remarkable results. With 17 years of expertise, DialShree offers cutting-edge features and AI assistance to fulfil your platform needs. Schedule a demo today!
An efficient debt collection process maintains a steady cash flow while mitigating cash crunches. When working with the right strategy, it automates payment collection on time giving businesses financial stability and buffer cash to plan future expenses easily.
A streamlined debt collection system is built on the pillars of consistent communication, easy payment options, and centralized data. Moreover, when businesses build an efficient system, it eliminates bad debt, leading to financial success.
Let’s discuss the key aspects of mastering debt collection and how to ensure you have enough cash flow without losing customers and their business.
Strategies for Increasing Collection Efficiency
No business wants to suffer from unpaid and overdue invoices. Chasing customers and clients to complete their invoices is a time-consuming and wasteful process, which can be streamlined with the right strategies targeting effective communication, negotiation, automation, and payment processes.
Communication Should Be More than a Simple Exchange of Words
Ditch the one-size-fits-all approach and segment customer communication based on severity, age, and customer profile. Craft personalized messages for each segment and every specific situation while factoring in their consequences.
To achieve collection efficiency, demonstrate your empathy with the customers. Don’t restrict yourself to sending emails; rather, use omnichannel communication and reach your customers through their preferred channels.
Train your callers to hone active listening and empathy. Understand the customer’s reason behind late payments and tailor solutions to accommodate them to the farthest extent possible.
Aggressive language alienates the customers, which can further increase bad debt.
Negotiate to Create Win-Win Situations
Effective negotiation can take your debt collection processes to the next level and present your business as customer-centric. Start negotiating and discussions early on before the accounts are delinquent. Present restructuring options and extend deadlines or even reduce the payments.
Sometimes, motivating customers with early payment rewards can prompt further action and reduce your debt collection woes in the future. You can also offer flexible options like extended installment plans and hardship programs.
Set flexible boundaries for the debt collection team allowing them to negotiate while presenting a range of solutions and reduce NPA accounts. For effective negotiation as well, the customer relationships and debt collection team must possess active listening skills.
On the whole, negotiate to ease the customer’s experience while ensuring bank recovery rather than deterring them with legal actions and other measures.
Leverage AI and Automation to Streamline Collection
Automation can play an essential role in streamlining the debt collection process and achieving financial success; here’s how. Using automation to send reminders and escalate overdue accounts while scheduling follow-ups frees collectors from handling other, more complex cases.
You can leverage AI-powered chatbots and train them to handle routine inquiries and redirect customers to payment pages, ultimately reducing pressure on debt collectors.
Moreover, it’s easier to predict customer payment behavior based on past transactions using AI analytics solutions. This means you can intervene early on to address at-risk accounts and implement intervention strategies. As a result, it will lead to risk reduction and reduce NPA.
Frictionless, Diverse, and Secure Payment Processes
Making payments should never be a hassle for your customers and clients. Integrate multiple payment options, including online payments, wallets, direct debits, wire transfers, or in-branch options. A lack of payments only gives the customers a potential reason to delay payments.
Ensure superior security with all the online payment methods and showcase the security features to your customers. Lastly, offer auto-payments and ACH options to your customers to automate payment collection on a fixed date.
Ways and Means of Reducing Bad Debt
Discuss strategies for establishing credit policies, conducting credit checks, and maintaining customer relationships to reduce the risk of bad debt.
Proactive utilization of data and automation technology can streamline how banks collect debt, but to reduce bad debt, they need different strategies. Bad debt is the result of the financial woes of your customers, and some are due to willful default. While it’s customary to take a lenient approach when your customers are going through financial troubles, adopt proactive strategies to stop willful default.
Here are some strategies to reduce bad debt;
Credit Policies to Filter Potential Customers
Your credit policies are your safety net to keep out bad debt. In addition to running generic credit checks, go for dynamic credit policies that incorporate risk assessment models. Your policies must account for the potential customer’s income stability and spending patterns.
Segment them based on their risk profile, requirements, and behavior as you account for these things. Account for the cash flow trends and savings while feeding the customer’s available data to an AI model to prejudice repayment potential.
Create a system of checks and balances to pre-qualify applicants and personalize their credit limits to ensure you don’t incur a bad debt.
Run Credit Checks to Identify Repayment Capability
Don’t limit customer credit checks to the credit score only. Go beyond the rudimentary credit checks and gain a holistic view of the customer’s profile. You can check their payment history of previous loans, utility bills, and social media activity.
These checks will present a holistic view of the potential customer, and as you match them up with fraud detection solutions, it will become easier to identify suspicious activities and red-flag the customers.
Next, conduct employer verification to confirm income stability and check inflated pay slips. Even after the loan is disbursed, run checks on the customers throughout the repayment term. Identify changes in their income, employment status, and spending patterns to intervene and prompt corrective action.
Maintain Cordial Relationships with Customers
Anyone can go through a rough patch in their life, which does not essentially mean they are willful defaulters. Instead of becoming a loan shark, adopt a customer-friendly approach.
To prevent bad debt and enhance collection efficiency, clearly communicate credit policies and interest rates while highlighting the potential consequences of delinquency. Using AI, you can predict risks, use this information to take proactive action and offer debt management resources to customers while running intervention programs.
Help struggling customers with personalized repayment options and loan restructuring and get them back on track.
Real-Life Success Stories and Case Studies
Businesses and banks are evolving with the trends to ensure they are not incurring bad debt and are able to streamline their collection system. Here are a few examples of how certain businesses use the strategies mentioned above.
Astute Management Solutions used Elision’s Dialshree, an omnichannel call center solution to automate customer data collection and simplify grouping collection. As a result, Astute Management Solutions were able to eliminate 100% of manual errors and recorded a 82.57% increase in collection.
AU Bank experienced multiple challenges including inbound and outbound calling options, a lack of SMS broadcasting, and lack of web chat options with customers. After consulting with Elision, we recommended and set up Dialshree for the bank to help them optimize their communication with the customers. This resulted in 100% increase in customer and agent interaction, 82.31% increase in loan debt collection, and boosted agent productivity by 79.26%.
Leverage Technology to Improve Collection Efforts
Mention supplementary tools and technologies that can enhance collection efforts, such as debt management software or analytics solutions.
In addition to using the tips and techniques shared above, use technology to your advantage for streamlining collections and reducing bad debt. Here are a few suggestions;
Debt Management Software: This software streamlines repetitive tasks like sending reminders and escalating delinquent accounts. They generate collective reports and also have omnichannel communication systems. You can also use them to enable seamless and secure online payments, encouraging faster payment settlements.
Better Insights to FOS and PTP Segmentation: Leverage technology to provide field officers with accurate, updated, and real-time insights while sharing information on delinquent accounts with a Promise to Pay status. Businesses can leverage Elision’s advanced debt collection module to do the same and provide the FOS team with better insights, updated payment details, real-time information through email and SMS to create a smooth communication channel.It will be better to channelize the PTP customers for using payment gateways for quick payments, making debt collection easier.
Artificial Intelligence: AI-based chatbots can free up the customer service and debt collector’s time to handle routine inquiries, make IVR calls, and help customers make payments. With sentiment analysis integrated into the system, you can analyze customers’ sentiments through text, giving debt collectors the opportunity to adapt communication styles and personalize interactions.Elision provides AI Super Agents, an advanced AI-driven module to help agents resolve customer issues and maintain 24/7 communication. These AI-based communication modules can imitate a human’s tone and voice to create the same impact fostering trust and customer loyalty.
Streamline Customer Communication and Collection
Debt collection efficiency and debt reduction are the critical aspects of achieving financial success. Any business lending customers money may face delinquencies and defaults, which can hamper their business growth.
Achieve collection efficiency with streamlining the collection process by changing the communication and negotiation processes while automating repetitive and easy tasks. Reduce bad debt with adaptive credit policies, dynamic credit checks, and improving customer relationships.
While integrating these systems, Elision’s DialShree omni channel communication system makes it easier to communicate with your customers and improve customer engagement.
Let’s Connect so that we can better understand your needs and execute an omnichannel communication strategy tailored to your requirements.
