Nobody wants to be governed. Everyone wants to be excellent. That simple reframe is at the heart of this conversation with Graeme King, a data and AI governance veteran who argues that the way we talk about data management is holding businesses back just as much as the data problems themselves.
With 25 years of experience across industries as varied as rail infrastructure, criminal justice, and the European Space Agency, Graeme has watched organisations stumble over the same fundamental problem time and again: their data isn't ready. In this episode, he joins Tim to make the case that before you chase the next shiny AI tool, you need to get your foundations right and that doing so doesn't have to mean boiling the ocean.
He introduces the FAIR framework: making data Findable, Accessible, Interoperable, and Reusable, as the clearest way to think about AI readiness, and argues that the real success of any AI deployment lives beneath the surface, in the unglamorous infrastructure most businesses would rather ignore. He also makes a compelling case for just-in-time governance: forget the massive enterprise-wide programme, build enough guardrails to innovate safely, use case by use case, and govern at the speed of innovation.
They also tackle the unique challenges of high-stakes environments like healthcare, where a 2% failure rate isn't a statistic, it's lives, and explore whether synthetic data and digital twins are a genuine long-term solution or simply a bridge to something better.
If your organisation is feeling the pressure to "just do AI," this episode is the reality check and the roadmap you need.

AI is our Business.

UKAI is the Trade Association for AI businesses across the UK. Join us, ukai.co