Your AI Is Running.
Do You Know What It's Doing?
A private roundtable on the control layer every enterprise AI deployment is missing. Policies describe what your AI should do. Runtime governance enforces it.
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You Wrote AI Policies. Not AI Visibility.
Every serious organisation has AI governance. Nearly all of it is the same thing: rules written down somewhere that describe what AI should and should not do. These documents are necessary. They are not sufficient. They stop at the point of deployment. Everything that happens after falls into an operational gap that no written policy can close.
Where does runtime control sit in the AI governance conversation — and how do you answer the board's question about whether your AI is under control with evidence rather than assertion?
What does an organisation with real runtime governance look like in practice — and what did the ones that got there decide to do differently at the start?
We invite you to join our private roundtable, where we'll be discussing the above and more:
- ✓Why your AI policies stop working the moment your models go live — and what fills the gap
- ✓How to monitor, control and evidence every AI interaction at the point of inference, not after the fact
- ✓Agentic AI: why autonomous systems demand a fundamentally different governance posture than copilots
- ✓The AI cost blind spot — how uncontrolled token consumption creates margin exposure across your estate
- ✓What SM&CR and the EU AI Act now require from senior managers — and what audit-ready evidence looks like
- ✓The 90-day path from fragmented AI deployment to a functioning runtime governance capability
Attendees will also receive a complimentary runtime governance readiness snapshot, mapping where risk and cost exposure sit across their AI estate — designed to support AI governance decisions in 2026 and beyond.
How the morning runs
Two hours. No pitching. A structured conversation with the room, designed to produce clarity and actionable next steps.
Runtime control: the layer enterprises keep missing.
Read the full case for governance that doesn't live in a document — the governance gap between what your policies say and what your AI actually does, the runtime risk map, the agent-autonomy model, the architecture of a real-time control layer, and a 90-day path to audit-ready operations.
Download the white paperin 2025
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