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In regulated and expertise-led businesses like legal, insurance, healthcare or professional services, caution is what competence looks like, despite what your LinkedIn feed is likely telling you right now.
But careful shouldn't mean stuck.
In this session, Dr. Christian Debes (Head of Data Analytics & AI at Spryfox), Edward Chinn (Founder & Strategy Lead at Kintara®) and Dr. Alex Leathard (AI & Data Lead, Kintara®) draw on their decades of experience working with leaders in regulated sectors to demonstrate what careful and considered AI innovation looks like, grounded in a real worked example from legal due diligence in real estate.
You’ll get to see first hand how the guardrails, checks, and human sign-offs work - including how a single insight traces back to the original text it came from. Non-negotiable criteria for any operation in regulated environments.
A definition of the cautious organisation and the case for treating that caution as an asset, not a deficit
The four conditions for trustworthy AI adoption, and what each looks like in practice
A worked example of a high-stakes AI system built for a cautious, regulated context
One slide you can put in front of your own leadership: what defensible AI adoption looks like
An optional next step: Kintara's AI Readiness Assessment, with a joint Spryfox x Kintara response to your results
For leaders at organisations that are ambitious about AI but deliberately careful, firms whose product is expertise, whose reputation depends on trust and needs auditable systems.
You know your domain deeply. You're mindful of your risk exposure. You've held back not because you can't use the technology, but because nobody has yet shown you a route that would survive scrutiny from your regulator, your clients, or your own board.
Some of you haven’t started yet. Others have tried and learned hard lessons.
This session speaks to both.
As an AI entrepreneur, Dr. Christian Debes brings over two decades of experience at the intersection of technology and business. He's held leadership positions as Head of People Data Science at Merck and Director of Data Science at AGT. In addition to his entrepreneurial activities, the machine learning specialist holds a doctorate and is a lecturer at the Technical University of Darmstadt.
Dr. Debes is an expert in translating highly complex technical concepts into clear business value and combining scientific depth with entrepreneurial action.
Ed Chinn is the founder of Kintara®, where he helps organisations work out where AI is worth adopting, what has to be true before they do, and what governance needs to sit around it. Drawing on a background with Ogilvy and EY, alongside studies at Cambridge and Imperial, he balances commercial pragmatism with a human-first view of how AI actually gets traction in an organisation.
Ed founded and co-chairs the Cambridge Institute for Sustainability Leadership alumni AI for Good group and serves on the UKAI Responsible AI Working Group.
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Dr Alex Leathard helps organisations whose work depends on expertise and information turn AI strategies into practical, lasting improvements. With nearly 20 years’ experience across digital, data, technology, product, and organisational change, Alex draws on his background in science and engineering to advise executive teams and develop the capabilities they need to manage AI risks, realise its potential, and rethink how work gets done.
