AI Director · Insurance
AI for Insurance Directors: Strategy and Execution
You run AI decisions in a sector where actuarial models, claims data and regulatory constraints all pull in different directions. Here you get lessons built around Insurance itself: how underwriting and pricing actually work, who the players are, what Solvency II and the AI Act require, and where the real margins sit. Alongside that, the core AI curriculum covers the technical and organizational foundations you need to lead with authority.
You also get interactive tools to test scenarios before you commit budget, a playbook with concrete steps for rolling out AI across underwriting, claims and fraud detection, and an assessment built specifically for insurance to measure where your teams stand today. This is training designed to move your decisions forward, not general theory you have to adapt yourself.
26 lessons · ~5 h · resumes where you left off
Your program
A focused program built on your vertical's content: the sector first, then your discipline applied to it.
The generalist AI track
The full craft of the discipline, beyond your sector.
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Frequently asked questions
Who is this AI training for exactly?
It targets directors and executives who make AI decisions inside an insurance company: underwriting, claims, pricing, fraud, data and IT leadership. The content assumes you arbitrate budgets and priorities rather than build models yourself. No prior technical background is required.
What is the difference between the insurance lessons and the core AI curriculum?
The insurance lessons cover the business itself: how underwriting and pricing work, who the players are, what Solvency II and the AI Act require, and where margins actually come from. The core AI curriculum covers the technical and organizational foundations, which are the same whatever your sector. You get both, so you can connect a modeling choice to its regulatory and economic consequences.
Do I need to start with the AI fundamentals before the insurance content?
Not necessarily. If you already sit in AI steering committees, start with the insurance lessons and the sector assessment, then go back to the fundamentals when a technical notion blocks you. If AI terminology is still unfamiliar, the core curriculum first will make the underwriting and fraud material easier to read.
Is there a diploma or a recognized certification at the end?
No. This is not a certified program and it carries no state recognition or affiliation with a school or university. Reading the lessons is free; creating an account only saves your progress.
What does the insurance assessment actually measure?
It measures where your teams stand today on AI, with questions written for insurance rather than adapted from a generic questionnaire. The output tells you which areas are ready for deployment and which ones need groundwork before you commit budget.
How is the AI Act and Solvency II content handled here?
Both are treated as constraints on AI deployment: what Solvency II implies for models used in pricing and provisioning, and what the AI Act requires depending on how you classify a use case such as automated underwriting or claims scoring. The angle is operational, aimed at decisions you have to make, and it does not replace legal advice on your own systems.