Insights & Technical Deep Dives
Exploring AI, automation, regulation and the practical challenges of operating in regulated industries.
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Claims handling is absent from Annex III. GDPR Article 22 binds it anyway. Only 24% of insurers say they could pass a governance review in 90 days.
Many claims AI pilots report accuracy in the mid 90s. Yet months later they are still not live in production. The root cause is measurement discipline and production realism.
Everyone says their AI is explainable. Few can prove it to an auditor. Here's the architecture that makes it possible, and the regulatory requirements it satisfies.
A practical evaluation framework for insurance teams evaluating claims automation solutions. Learn when to build, when to buy, and how to evaluate vendors objectively.
How to build AI systems that can be explained, traced and defended in regulated environments.
Best practices for automating insurance claims while maintaining quality and compliance.
Navigating FINMA, EU AI Act, and other regulatory requirements for AI in insurance.
Deep dives into hybrid AI architectures, document processing and decision systems.
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