Precision RAG, Smarter Portals, and the Future of Knowledge Ops

Wednesday, January 14, 2026

11am PST • 2pm EST


AI-powered support isn’t just about answering questions faster. It’s about answering them better.

Customers expect accurate, contextual answers they can trust in every interaction, whether they’re using self-service portals or working directly with agents.

In this session, Chris Romrell from NICE shares how his team redefined their knowledge strategy with Precision Retrieval-Augmented Generation (RAG) and a next-gen self-service portal. By addressing challenges like duplication, governance, and user trust, they delivered reliable, context-rich answers at scale—improving outcomes for both customers and agents.

We’ll also go behind the scenes with Resolve SX to explore how the Knowledge Agent powers this new era of AI-driven support.

You’ll see how it adds structure to unstructured data, enforces governance guardrails, and serves up responses that your customers can actually rely on.

What You’ll Learn:

  • How Precision RAG reduces duplication and improves answer quality
  • How to design AI knowledge systems that customers and agents trust
  • Real-world results from NICE’s deployment of AI-powered knowledge
  • The technology inside Resolve SX’s Knowledge Agent and how it is built to scale across the enterprise

Are you a..?

  • Support and CX leader looking to modernize their knowledge strategy
  • AI, Data, and IT leader focused on scalable, compliant AI deployments
  • Knowledge manager or self-service team aiming to cut duplication and increase adoption

Then this is for you! If you’re exploring AI for support, this session will give you a blueprint for deploying AI knowledge systems that work not only for customers but also for the agents and leaders who rely on them every day.

26.01 WW DWEB - Precision RAG (#76)

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Your host: Ryan Radcliff
Director Product Marketing,
SupportLogic

SX focused companies use SupportLogic

About SupportLogic SX

The Continuous Support Experience Platform

  • Seamlessly integrate with your existing ticketing system
  • Read every ticket and automatically extract signals using AI/NLP
  • Maintain context across conversational and ticket boundaries
  • Predict outcome and provide proactive recommendations with intelligent workflows
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