What can the world of professional motorsport teach us about leading teams and making decisions with AI when the pressure is on?
In this senior‑level seminar, Michael Orant – one of our fractional CTOs and a British GT racing driver – uses a race weekend as a live case study in performance‑driven decision‑making. Drawing on his experience leading technology teams and competing at the highest levels of motorsport, Michael explores how high‑performance teams move from data to action when outcomes matter and information is imperfect.
The session focuses on AI as a performance capability rather than a silver bullet. Leaders will examine where AI genuinely improves decision‑making and team performance, where it introduces risk, and why data quality, validation and human judgement remain critical. A test‑and‑learn mindset and the pursuit of marginal gains sit at the heart of the discussion.
This is a practical, non‑technical session designed for CEOs, MDs and senior leaders. Whether you’re exploring AI for the first time or refining an existing approach, you’ll leave with clearer thinking about how to apply AI in ways that drive measurable performance improvement.
The keynote will be followed by drinks, nibbles and peer discussion. The event is hosted in partnership with Freeman Clarke, Partners& and Workwell, with the networking reception sponsored by Cold Bath Brewing Co.
Key takeaways:
- Adopt a practical test‑and‑learn mindset, progressing with AI without waiting for perfect foundations.
- Reframe AI as a performance tool, not a silver bullet, focused on improving decision‑making and momentum rather than changing the objective.
- Learn how high‑performance teams act on imperfect data, making confident decisions under pressure instead of waiting for certainty.
- Understand where AI adds value and where human judgement must lead, including how to recognise risk, bias and over‑reliance on outputs.
- See why marginal gains beat big AI bets, with small, consistent improvements compounding over time.