Insurers are putting AI into underwriting, pricing and claims — decisions with direct fairness, conduct and regulatory consequences. Actuarial, underwriting and claims teams leave able to deploy AI in those workflows without creating conduct risk or a model no one can defend.
A governance-and-conduct framing carried over from regulated financial work, applied to the specific decisions insurers answer for.
Ideal for: Chief Actuary · Underwriting · Claims · Insurance risk
Not the failures that make headlines — the quiet ones that pass review, because they arrive looking exactly like a correct answer.
A model can reconstruct a protected characteristic from correlated variables without anyone selecting it.
A provisional score becomes the decision because everything downstream treats it as one.
Encoded judgements stop being reviewed once they live inside a model rather than a document.
For Insurance (actuarial, underwriting, claims) and life-sciences (R&D, clinical, regulatory) teams.
Deploy AI in regulated workflows — underwriting, pricing, claims, discovery, trials — while keeping validation, traceability and conduct intact.
For Any team that wants to use AI well and safely day to day.
Work confidently with AI on real tasks — writing, research, analysis — and avoid the common, costly mistakes.
For All staff — a whole-company awareness session.
Spot AI-powered scams, deepfakes and data leaks — and use AI tools without putting the company at risk.
A short conversation about your team, your risk, and the session that would move them. No pitch deck — just the right scope and dates.
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