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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…

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AI for Agent Empowerment & CX
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…

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AI for BPOs & Outsourcing
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.…

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AI Compliance & Quality Assurance
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…

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AI in Healthcare & Medicare
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…

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Knowledge
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,…

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AI in Debt Collection & Financial Compliance
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…

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Knowledge
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…

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AI in Debt Collection & Financial Compliance
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…

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AI for Agent Empowerment & CX
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…

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Knowledge
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…

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AI for Contact Centers
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…

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AI for Agent Empowerment & CX
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,…

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AI in Healthcare & Medicare
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…

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AI in Healthcare & Medicare
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…

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AI in Debt Collection & Financial Compliance
The Role of AI Call Analytics in Debt Collection and Insolvency Services

Debt collection and insolvency services operate in a high-pressure, highly regulated environment. Agents must manage sensitive customer interactions while adhering to strict compliance standards, including the Fair Debt Collection Practices…

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Knowledge
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…

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AI for BPOs & Outsourcing
AI Call Analytics: A Game-Changer for the BPO Industry

The Business Process Outsourcing (BPO) industry has always been at the forefront of adopting technology to improve efficiency, customer experience, and operational scalability. However, as client expectations rise and regulatory…

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AI in Healthcare & Medicare
HIPAA Compliance and Call Analytics: What Healthcare Providers Need to Know

Introduction: The Importance of HIPAA in Healthcare Healthcare providers handle sensitive patient information daily. Protecting this data while delivering efficient patient care is both a regulatory requirement and a trust…

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AI Compliance & Quality Assurance
Automated Call Summarization: Saving Time for Agents and Supervisors

In modern contact centers, agents and supervisors spend a significant portion of their day documenting calls, creating summaries, and updating CRM systems. These tasks are essential for maintaining accurate records,…

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Knowledge
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…

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AI for Agent Empowerment & CX
5 Ways AI Call Analytics Reduces Agent Burnout and Improves Retention

Contact centers are often high-pressure environments where agents handle a constant stream of customer interactions, manage complex issues, and meet strict performance metrics. This can lead to agent burnout—a critical…

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AI for BPOs & Outsourcing
Why Global BPOs Need Scalable AI Call Analytics for Quality Assurance

Introduction: The QA Challenge in Global BPOs Global BPOs manage high volumes of customer interactions across multiple languages, regions, and industries. Ensuring consistent quality, compliance, and agent performance in such…

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