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 how to turn governed knowledge into a foundation for scaling AI — and how to do it in weeks rather than years. You’ll see where governance happens, who needs to sign off on what, and how AI can cut the cost and effort involved.
We’ll cover:
- Why the two obvious routes, ship fast or define everything first, both hit the same ceiling
- The difference between the knowledge you own and the context you serve to an agent at runtime
- 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
- A live demo showing the loop end-to-end: an expert updates their thinking, the governed knowledge changes underneath, and the agent’s answer changes accordingly, with the sign-off tracked and observable.
When
Date: Friday, September 11, 2026
Time: 11:00 to 12:00 CET
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.