Tara Thompson, CAIP, CAIE, CAIA
I started with the practical side of AI adoption, teaching teams how to use AI in their everyday work. My background is in digital and mobile technology, including medical devices, so I was already familiar with the gap between what a demo promises and what a workflow can reliably support.
Over time, I kept seeing the same pattern in organisations. People could describe the tools, run impressive demos, and list the vendors, but they could not answer the governance questions that matter under audit and regulatory review:
Who owns this decision?
What happens when it fails?
Where is it recorded?
How do you prove it?
Capability had moved faster than accountability, and that gap only became visible once something went wrong. Seeing that repeatedly is what pulled me from AI literacy into governance and assurance.
Organisations need a defensible position on how AI is being used in their workflows. That means, clear ownership, documented oversight, escalation routes that work in practice, and decision records that can be produced quickly and confidently.