What this session covers
AI doesn’t fail because the models are bad. It fails because the knowledge underneath it is scattered, outdated, and unowned.
As products evolve, critical knowledge lives everywhere: Slack threads, walkthrough videos, tickets, internal workflows, and in the heads of a few experts. When AI is built on this messy reality, it confidently gives wrong answers, creates inconsistent experiences, and erodes trust in your tools.
In this30-minute session, see how to turn fragmented knowledge into a single, living layer that powers AI, teams, and self-service.
You’ll walk away knowing how to:
• Deliver AI experiences that are accurate, personalized, and grounded in real product context
• Automatically capture high-value knowledge from Slack, docs, videos, and workflows
• Avoid the pitfalls of traditional KBs, RAG pipelines, and AI tools that break at scale
• Build a knowledge foundation that grows as products, teams, and AI use cases expand.
If you’re responsible for AI, CX, or enabling teams with AI-powered tools, this session will show you how to move from experimental AI to dependable, value-driving experiences.
