How can AI-powered speech analytics scale call monitoring and improve agent performance?

12 December 2025

Discover how Inizio Engage leveraged AI-driven speech analytics to scale call monitoring, enhance agent performance, and improve customer interactions through same-day insights and targeted coaching.

What challenges do support teams face with traditional call monitoring? 

A leading customer support team needed to improve the onboarding and performance of new agents while maintaining a consistently high level of service, particularly as patients frequently contacted the virtual call center to learn about available resources, making each interaction a critical moment of support and education.  

With traditional call monitoring methods, assessing performance and retraining agents can be time-consuming, making it difficult to provide prompt feedback. As a result, coaching lacked precision, and inconsistencies in patient interactions remained a challenge. To overcome these challenges, the client required a smarter, scalable, data-driven solution to ensure consistent service delivery and agent excellence.   

How did Inizio Engage use AI to transform call monitoring and coaching? 

Inizio Engage leveraged an AI-powered speech analytics platform – integrated with a custom scorecard – to transform how agent performance was evaluated. The platform analyzed customer interactions shortly after they occurred, and using AI, automatically assessed key metrics such as speaking confidence, politeness, and efficiency – providing agents with immediate, actionable feedback.  

The scorecard offered a structured approach to measuring success, ensuring that every agent was evaluated against consistent performance benchmarks. This enabled targeted coaching, next-day feedback loops, and self-improvement opportunities – helping agents refine their patient communication skills rapidly while maintaining a high standard of service.  

What measurable impact did AI-driven insights have on agent performance and customer service? 

By harnessing AI to listen more effectively, the project delivered significant results. 

AI-driven monitoring enabled a 50x increase in call analysis, unlocking deeper insights into patient interactions and agent performance.  

Clear benchmarks and same-day feedback empowered agents to quickly refine their communication skills, building greater confidence, and consistently enhancing service quality.  

For the client, the solution enabled rapid identification of coaching opportunities, faster evaluation of script updates, and more targeted analysis of call pain points, driving quicker, data-led improvements across the team.  

The initiative not only made coaching more efficient but also earned a “Coaches of the Year” Award, highlighting the transformational impact of AI-powered insights on both workforce development and patient engagement. 

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