Ptally Regulation and Risk
Covers how insurers can use AI in pricing while meeting regulatory expectations on fairness, transparency, explainability and human oversight in the UK, EU and US.
Articles
5The benefits of AI in regulated industries, and why explainability comes first
How insurers and other regulated firms can benefit from AI while meeting expectations on fairness, transparency and accountability from regulators such as the FCA, NAIC and EU.
The EU AI Act and insurance pricing: what high-risk means in practice
The EU AI Act treats AI used to assess risk and price life and health insurance for individuals as high-risk. This article explains what that means for pricing teams and the controls worth putting in place across all lines.
Consumer Duty and pricing models: how to evidence fair value
What the FCA's Consumer Duty and general insurance pricing rules mean for pricing teams, and the evidence to keep so you can show your prices offer fair value.
The NAIC AI model bulletin explained for insurers and MGAs
What the NAIC model bulletin on the use of AI systems by insurers expects, how it applies to pricing and underwriting, and what MGAs and technology vendors should prepare.
Human in the loop: designing AI approval workflows for regulated pricing
How to design approval workflows when AI agents help build and change insurance pricing models: who can draft, approve and publish, what reviewers should see, and how to handle urgent changes.
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