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 It fails because the knowledge underneath it is scattered, outdated, and unowned.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.

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In this 30-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.

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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.