A policy document is the starting point. What happens next is what actually determines whether your governance holds.
Most organisations now have some form of AI governance in place. A policy document, an approval process, maybe a steering group. On paper, it looks like the risk is covered. In practice, leaders are often left asking a harder question:
What does it actually take to keep that governance working once real AI systems, real vendors and real regulation are involved?
Much of the conversation focuses on writing the policy. It rarely explains what happens after it's signed off. When a model updates without warning, a prompt gets tweaked and behaviour shifts, or a new regulation gets announced and nobody's sure whether last year's sign-off will still apply.
In this 45-minute panel discussion, James Ridgway, CTO at The Curve, will be joined by:
Alasdair Walker, Managing Director, Optimum Path Financial Planning
Sam Newton, Founder, Gravitate Accounting
Our panellists will discuss their experience keeping AI governance working inside real organisations. Together, they will explore:
The gap between writing a framework and running one
Giving people the right tools and safeguards
Where traditional AI deployments make governance harder to hold
How much control over your own data and models is actually worth having
What's changed in the UK regulatory picture recently
The discussion will also explore the practical trade-offs involved in taking on more control of an AI stack, so the decision gets made on evidence rather than instinct.
The session is designed for business leaders and decision makers and does not require a technical background.