Intent Detection vs Keyword Tracking: What Drives Real Insights?

Imagine a customer dials your support line and they say, “I’m looking at my invoice and the math just doesn't add up based on what we agreed to. And of course,…

Speech-to-Text Accuracy: The Backbone of Reliable Call Analytics

AI enabled call analytics has revolutionized the way businesses decipher customer talk. From sentiment analysis and compliance monitoring to agent coaching and predictive insights, today’s analytics platforms are heavily reliant…

Proactive Service as a Revenue Engine, Not a Cost Center

Introduction Customer service has traditionally been viewed as a support function—something designed to solve problems after they happen. But today, leading organizations are redefining service as a strategic driver of…

Voicebot Analytics: Measuring Performance Beyond Call Volume

Voicebots have quickly become an essential component of the contemporary customer support model. Using AI-based voicebots, companies can now automate interactions, cut operational costs and deliver an enhanced customer experience at a…

Real-Time vs Post-Call Analytics: What Matters More?

Customer conversations represent one of the most valuable sources of business intelligence. Intent, sentiment, compliance risk, and revenue opportunities are all within support calls, sales conversations and customer queries. But the big…

Why Sentiment Analysis Alone Is Not Enough in 2026

Sentiment analysis has been a staple of call analytics for years—providing businesses with a sense of whether customer interactions are positive, negative or neutral. However in 2026, customer expectations and…

The Role of Intent Recognition in Modern Call Analytics

In the American strong writer world your customers are more important than ever before? Businesses no longer want to simply record calls — they want insights that they can act on. This…

Beyond the Dashboard: Turning Customer Signals into Strategic Decisions

Every organization collects customer data. But very few truly use it to drive real decisions. In our recent webinar on “Beyond the Dashboard: Turning Customer Signals into Strategic Decisions,” we…

AI-Powered Contact Centers- Elevate Customer Experience

Introduction Every business aims to deliver great customer experiences. But delivering fast, personalized, and consistent support at scale remains a challenge. In our recent webinar on “AI-Powered Contact Centers –…

Human + AI Contact Center: Designing Collaboration, Not Replacement

Introduction In today’s fast-moving digital world, customer expectations are evolving rapidly. People expect: Instant responses Personalized communication Seamless experiences across channels For many businesses, delivering this consistently is a challenge.…

Precision Leadership in the Age of AI — How CX Teams Perform with Data Driven Coaching

Introduction Customer experience today is no longer just about processes—it’s about precision, speed, and insight-driven leadership. In this episode of our podcast series, we explore how AI is transforming not…

CX Speaks: Mastering Customer Experience in the Age of AI

Introduction Customer experience is no longer just a support function—it’s a core business strategy. In this episode of CX Speaks, hosted by Verbix.ai, we explore how organizations can truly master…

Voice of the Customer: Turning Feedback into Actionable Insights

Introduction Every company says they listen to customers. But very few actually act on what customers are saying. In our recent webinar on “Voice of the Customer (VoC) Programs”, we…

Comparing Private vs. Public Cloud for Call Analytics

Choosing where your call recordings are processed and stored is one of the most important security decisions your IT team will ever make. Unlike simple text data, voice recordings carry…

Verbix.AI at IIT Bombay E-Summit 2025: Showcasing the Future of AI-Powered Customer Experience

Dates: 11th & 12th December, 2025 Time: 9:00 AM – 5:00 PM Location: IIT Bombay — E-Summit Startup Expo Verbix.AI is proud to announce its participation in the 21st edition…

AI for Remote Contact Centers: Monitoring Productivity Without Micromanaging

The rise of remote work has transformed the contact center landscape. While remote operations offer flexibility and cost savings, they also present unique challenges for monitoring productivity, maintaining service quality,…

The Cost of Missed Insights: Why Manual Call Sampling is Outdated

Contact centers have long relied on manual call sampling to evaluate performance, compliance, and customer experience. While this method may have sufficed in the past, the increasing complexity of customer…

Top 10 AI Features Every Call Analytics Solution Should Have

In today’s competitive business environment, contact centers are the frontlines of customer engagement. Delivering exceptional service while ensuring compliance, efficiency, and actionable insights requires more than traditional monitoring. AI-powered call…

Aligning Call Analytics with CX Goals: What Really Matters for Customers

Customer experience (CX) has emerged as a key differentiator in today’s competitive business environment. Contact centers are at the heart of CX, handling inquiries, resolving issues, and representing the brand…

The Future of Call Analytics: AI Trends Contact Centers Shouldn’t Ignore

Introduction: The Evolving Role of Call Analytics Contact centers have always been central to customer experience, but the rise of AI is transforming how organizations analyze, act on, and optimize…