Ending the Manual Log – Auto-Fill Your CRM After Every Call

In today’s contact center, After-Call Work (ACW) hinders growth. Industry data shows that agents spend up to 30% of their day manually logging information. This creates two major problems: The…

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…

Stop the Revenue Leak – How Verbix Syncs Call Data Directly to Your Booking System

For healthcare clinics, law firms, and service-based businesses, the Booking Calendar is the key. Every empty slot is a lost opportunity; once that hour is over, that revenue is lost…

Sleep While You Audit – Scaling High-Volume Vicidial QA with AI Automation

In a fast-paced BPO or collection agency, Vicidial is the best tool available. It focuses on one purpose, which is quick outbound dialing. However, there is a major drawback to…

Why Automated PII Redaction is Your Best Compliance Friend

In contact centers, Real-Call Coaching is the best practice. There’s nothing better than listening to a top agent handle a tough objection or finalize a challenging deal. However, in fields…

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…

Human + AI: How Augmented Analytics Can Empower Agents, Not Replace Them

The rise of artificial intelligence in customer service has sparked a common misconception — that AI will eventually replace human agents. In reality, the most powerful contact centers are built…

Reducing Churn in BPO Contracts with AI-Driven Customer Insights

In the competitive BPO (Business Process Outsourcing) industry, client retention is as critical as client acquisition. High churn rates not only affect profitability but also damage reputation and growth potential.…

Customizable Dashboards in AI Call Analytics: Turning Data into Actionable Insights

In today’s data-driven contact centers, having access to the right metrics at the right time is critical. While call analytics platforms can generate vast amounts of data, raw numbers alone…

Top 5 KPIs Medicare Agencies Should Track with AI Call Analytics

Medicare agencies manage a high volume of patient interactions daily, ranging from eligibility inquiries to claims resolution. Ensuring quality, compliance, and patient satisfaction in these calls is critical, yet traditional…

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,…

Using Sentiment Analysis to Improve Debt Resolution Conversations

Debt resolution conversations are often delicate and high-stakes. Agents must navigate sensitive financial discussions while maintaining compliance, managing customer emotions, and achieving resolution goals. Traditional call monitoring methods, such as…

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…

AI and Compliance in Financial Services: What Insolvency Agencies Need to Know

Financial services and insolvency agencies operate under stringent regulations designed to protect clients, investors, and the financial ecosystem. Non-compliance can lead to severe penalties, reputational damage, and operational disruption. For…

The Link Between AI Call Analytics and Higher Customer Satisfaction Scores (CSAT)

Customer Satisfaction (CSAT) scores are one of the most critical metrics for measuring the success of a contact center. They reflect how well an organization meets customer expectations and directly…

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…

Top 10 Metrics to Track with AI Call Analytics for Better CX

Introduction: Why Metrics Matter in Customer Experience Customer experience (CX) is a critical differentiator for businesses today. Contact centers are the frontlines of CX, and understanding the effectiveness of interactions…

How AI Helps Align Contact Center KPIs with Business Goals

Contact centers play a critical role in driving business outcomes, from customer satisfaction to revenue generation. However, many organizations struggle to connect operational metrics—such as call handling time, first-call resolution,…

Improving Patient Experience Through Sentiment & Intent Analytics

Patient experience is increasingly becoming a key differentiator for healthcare providers. Every interaction—whether over the phone, via chat, or through email—shapes a patient’s perception of the organization. Traditional monitoring methods…

Reducing Compliance Risk in Medicare Calls: Why AI Is a Must-Have

Medicare agencies operate under some of the strictest regulatory frameworks in the healthcare industry. Agents must navigate complex rules, maintain accurate documentation, and handle sensitive patient data—all while delivering timely…