Blog

Why Voice AI Deployment Stalls Before Launch

insights@klearcom.com (Klearcom) — Mon, 29 Jun 2026 13:23:02 GMT

Voice AI projects often perform well in pilots but struggle in production. The problem usually sits beyond the model itself, across telephony integration, routing, audio quality, latency, and failover. This blog explains why enterprise teams need real-world voice ai testing before they expose a voice ai agent to real customers.

Remote Contact Centre Agent Voice Quality Risk

insights@klearcom.com (Klearcom) — Fri, 12 Jun 2026 15:09:27 GMT

Remote work has changed contact center voice quality. A customer call may route correctly through the IVR, reach the right queue, and connect to the right agent, yet still sound poor once it reaches the remote endpoint.

The Voice Compliance Testing Gap

insights@klearcom.com (Klearcom) — Fri, 12 Jun 2026 14:53:29 GMT

Compliance teams have become very familiar with privacy assessments, cyber risk registers, vendor reviews, and operational resilience plans. Those controls matter, but they do not always prove that a customer can reach the right contact center journey from the region where they are calling.

Why AI Voice Agents Need Fresh Call Data

insights@klearcom.com (Klearcom) — Fri, 29 May 2026 16:33:26 GMT

AI voice agents are moving from controlled demos into live customer journeys, where the quality of the underlying data can decide whether automation helps or fails. A virtual agent may have strong speech recognition, a well-designed prompt, and access to customer records, but it can still break if the context behind the phone call is stale, incomplete, or disconnected from what callers experience in production.

Why Test Genesys Cloud Before Go-Live?

insights@klearcom.com (Klearcom) — Tue, 12 May 2026 16:05:13 GMT

Migrating to Genesys Cloud CX is a major contact center project, but customers judge the change in a simple way. They call a number, listen to an IVR, choose an option, and expect to reach the right place. If that journey fails, the platform behind it does not matter.

Chatbot Testing That Mimics Real User Behavior

insights@klearcom.com (Klearcom) — Tue, 24 Mar 2026 12:49:58 GMT

Chatbots today are expected to handle complex, natural conversations across a wide range of user intents, languages, and contexts. However, many chatbot testing approaches still rely on controlled inputs and predictable flows that do not reflect how users interacting with the chatbot actually behave in real situations. This creates a clear gap between what teams test and what users experience in production.

Agentic AI and the Future of Customer Experience in 2026

insights@klearcom.com (Klearcom) — Tue, 17 Feb 2026 15:57:50 GMT

Agentic AI is quickly becoming one of the most talked-about developments in customer experience. Unlike earlier automation tools that followed fixed scripts, agentic AI systems are designed to make decisions, plan actions, and adapt in real time. Powered by advances in large language model technology and broader AI capabilities, these systems are beginning to handle more complex customer interactions across voice, chat, and digital channels.

Voice AI in Customer Support: Beyond the IVR

insights@klearcom.com (Klearcom) — Tue, 17 Feb 2026 15:17:26 GMT

Voice AI in customer support is no longer limited to basic menu trees and prerecorded prompts. AI systems are increasingly embedded across contact center operations, from speech recognition and conversational AI to generative AI–powered knowledge bases. The shift is not just technological. It changes how calls are routed, how decisions are made, and how customer support teams manage risk.

Reducing Wait Times With a Virtual Agent

insights@klearcom.com (Klearcom) — Mon, 16 Feb 2026 16:04:05 GMT

Long wait times are one of the most visible symptoms of stress inside a contact center. Customers hear queue music, estimated wait time announcements, or repetitive prompts while they wait for a live agent. What they do not see is the combination of IVR logic, carrier routing, and voice infrastructure that determines whether their call moves efficiently or stalls.

Virtual Agent and Artificial Intelligence Guide

insights@klearcom.com (Klearcom) — Thu, 12 Feb 2026 16:45:49 GMT

When people talk about a virtual agent powered by artificial intelligence, the conversation usually centers on automation, chatbots, or digital transformation. What often gets overlooked is how these AI systems behave in real voice environments, particularly in IVRs and global phone number infrastructures. In our work testing toll-free numbers and IVR systems across more than 100 countries, we see the gap between AI promise and production reality every day.