Teaching AI our testing standards helped us turn risky refactors into routine improvements. Here’s how.

Jerridan Quiring

Staff Software Engineer

What if your AI didn’t just forget your conversation—what if it never remembered it in the first place?

Jennifer Sewell

Senior Director, Product and Brand Marketing

Learn how Model Context Protocol (MCP) helps AI agents use real-time business data to deliver smarter, more accurate customer service.

Shantanu Kedar

Director, Product Marketing

Think scaling AI across every channel sounds impossible? These brands are doing it—with smart strategy, real results, and zero shortcuts.

Mike Lidin

Senior Director, Customer and GTM Activation

Agentic AI is everywhere—but most people still get it wrong. Here’s what it really means, and why it’s already reshaping customer service.

Jennifer Sewell

Senior Director, Product and Brand Marketing

Instead of using retrieval to improve generation, we use generation to improve retrieval. Sounds recursive? It is. And it works.

Christos Melidis

Staff Machine Learning Scientist

Your AI agent needs feedback loops, measurable goals, and regular performance reviews. The challenge? Knowing which metrics actually matter.

Maggie Brennand

Senior Product Marketing Manager

Agentic AI isn’t five years away. It’s here, and it's not replacing agents—it's reimagining what customer service teams can do.

Jennifer Sewell

Senior Director, Product and Brand Marketing

Coaching AI isn’t just about tweaking responses or fixing mistakes, it’s about turning data into direction

Adam Day

Senior Product Manager

Discover the measurable impact AI coaching has on AI customer service.

Maggie Brennand

Senior Product Marketing Manager

The best AI agents aren’t the ones with the most data—they’re the ones that are coached on how to best use it.

Megan Myke

Engagement Manager

Banks can lower costs while improving service quality, making AI more than just a tool for efficiency—it’s a financial imperative.

Sarah Fox

AI Content Specialist