In the last 12 months, questions around AI adoption in the contact center have changed from if to when to “why haven’t we done this yet?!” But part of the obstacle to incorporating AI into your strategy is the total lack of transparency. When every tech company is claiming to solve all problems, it’s difficult to separate hype from actual value.
This panel brings together two experts who have successfully led AI adoption use cases in the contact center. Paula Kennedy, a thought leader in customer experience innovation who has held key strategic roles at IntouchCX, Concentrix, Sitel Group, TeleTech, and HCL BPO; and Etie Hertz, CEO of Loris, an AI startup using conversational intelligence to improve everything from customer insight to agent performance to quality assurance.
After this discussion, you’ll walk away with:
- The ability to prioritize AI adoption projects with a plan for success
- Clarity on necessary steps and missteps to avoid
- Ways to measure the value of AI adoption while also mitigating risks
AI Agent Evaluation: The Complete Guide to Measuring Bot Performance in 2025
AI agents are everywhere in customer service, sales, and operations. But their ubiquity also begs the question: Are my AI agents doing a great job or frustrating customers at an even greater scale. The only answer is to do real AI agent evaluation – not basic resolution and analytics from the AI agent provider