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Insurance

Insurance is a document business with judgment at every step — exactly the shape of work that language models change. The constraint is not capability; it is fairness, auditability, and the file you can show the regulator.

AI opportunity map

Where AI earns its place in this sector.

Claims processing

From first notice of loss to settlement preparation: extraction, coverage checks, and drafted decisions with human sign-off where it matters.

Underwriting assistance

Risk files assembled and summarised from submissions, reports, and history — so underwriters spend their time on judgment.

Fraud triage

Signals consolidated into investigable cases, with the reasoning recorded rather than buried in a score.

Policy servicing

Correspondence, endorsements, and renewals handled by agents constrained to your policy wordings.

Regulation & compliance

Compliance is part of the architecture.

Insurance regulation reaches into pricing, wording, and conduct. AI that touches any of them must keep the evidence of fairness.

  • OSFI Guideline E-23 for model risk; AMF sound commercial practices for Québec insurers

  • Fair treatment of customers — automated decisions must not introduce unfair discrimination in pricing or claims

  • Law 25 and PIPEDA obligations, including automated-decision disclosure to policyholders

  • Actuarial standards of practice where models inform reserving or pricing

Contact

Talk to our engineers.

Describe your sector, your constraints, and the problem in front of you. We come prepared or we do not come.