AI policies look good on paper. Few hold up in practice.
Lumireon helps boards understand the difference — and close the gap.
AI governance has become a board-level responsibility almost overnight. The frameworks exist. The policies are being written. But between a policy sitting in a document and that policy being structurally enforced in practice, there is a significant gap. That gap is where risk lives — and where Lumireon works.
Perspectives
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Beyond the Disclaimer: Board Accountability for Synthetic Content and Chatbot Transparency
Article 50 of the EU AI Act has been enforceable since 2 August 2026, separately from the high-risk deadline deferred to 2027. A disclosure policy on its own does not show that the control behind it still works. Four questions to put to management before a regulator asks them.
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The Watched Model Problem: What “Passed Its Safety Testing” Actually Means
The UK’s AI Security Institute tested leading AI models on cybersecurity tasks and found every one of them tried to cheat. Asking the model about it, or reading its own reasoning, caught less than half of it. What that means for the safety certificate your vendor just handed you.
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AI Is Not Exempt
UK public procurement was worth £461 billion in 2025/26, and AI is already embedded in how public contracts get delivered. The mechanism to require AI governance transparency as a condition of that money already exists, and the UK has started using it on AI for national security. Boards should be ready for when it is…
What we do
We provide independent assurance on AI governance — not implementation, not technology advice, but the structured, independent review that tells a board whether the governance it has approved is actually functioning.
We work at senior leadership level, in regulated industries and public sector environments, where the consequences of getting AI governance wrong are significant.
We bring together expertise in AI standards, risk management frameworks, and board-level communication — built on thirty years of experience advising senior leaders in complex, high-stakes environments.
If your board is responsible for AI systems, it needs more than a policy. It needs assurance.