Governing the knowledge your agents run on

​Agentic AI often fails at the same point. The first use case works. Then the second exposes gaps in the knowledge behind it, and suddenly you’re looking at a governance programme that could take years. ​The problem often starts with the knowledge the agent relies on: nobody clearly owns it, and nobody has signed off on it.

​In this 60-minute session, we’ll show why governed knowledge is the asset that lets AI agents scale, and how to build it fast. You’ll see where governance happens, and how AI can cut the cost and effort involved to do it properly.

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​We’ll cover

• ​Why the two obvious routes to delivering AI systems – rush to ship fast vs. defining everything upfront – hit the same ceiling

• ​How to make a source governable without modelling the whole enterprise first

• ​What stays a human decision, and what can be proposed by the agent

​We will illustrate the presented concepts with examples from our day-to-day work, which will bring things to life.

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​When
Date: Friday, September 11, 2026
Time: 11:00 to 12:00 CET

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​For whom
This session is built for the people accountable for scaling agents on trustworthy knowledge:

• ​Data and AI leaders taking agentic AI beyond the pilot

• ​Data engineers and architects building the knowledge and context layer

• ​Governance, IAM and data collaboration professionals responsible for traceable, compliant outcomes

​Seats are limited. Secure your spot today.