Enterprise support organizations face a growing challenge: knowledge is expanding, but access is shrinking. When knowledge ecosystems become too large and fragmented across different systems, both customers and internal teams struggle to find the answers they need.

In this episode, we are featuring Chris Romrell from NICE to discuss how NICE tackled the widespread problem of "knowledge sprawl" head-on. Discover how NICE transformed their support experience by moving away from frustrating, keyword-based searches and static link lists, and instead embraced Generative AI and Precision RAG (Retrieval-Augmented Generation). Powered by SupportLogic’s Resolve SX, NICE successfully shifted from simply indexing knowledge to intelligently interpreting it.

Chris pulls back the curtain on the economics of this transformation, sharing the exact ROI model they used to justify the investment. By aiming to deflect just 3% of their 50,000 annual support cases, NICE was able to generate substantial operational savings.

Key Takeaways in this Episode:

• From Links to Answers: How to deliver precise, contextually relevant generative answers directly within the customer journey instead of making users sift through search results.
• Measuring True Deflection: Why traditional search metrics fail, and how NICE uses "search sessions" to track actual case deflection and measure resolution success without guesswork.
• Rebuilding Customer Trust: Strategies for embedding intelligent search directly into the case creation workflow to seamlessly intercept tickets and rebuild trust in self-service portals.
• Scaling Internal Knowledge: How to stop relying on "documentation heroes" by using AI to automatically extract and summarize solutions from resolved cases.
• A Roadmap for AI Evolution: Actionable lessons for support leaders on how to start with the right problem, build an ROI model, and make space for experimentation.

Tune in to learn how to turn support into a competitive advantage and elevate your customer experience from reactive to proactive