Custom AI/ML solutions for insurance industry

For well-scoped projects with clean data access (ACORD extraction, submission triage), 8–12 weeks. For cat/accumulation models requiring custom data acquisition, 14–20 weeks. We always start with a 45-minute call to scope realistically.

Every model ships with a full MRM package: documentation, sensitivity tests, backtesting against holdout periods, sign-off-ready validation pack. We map that package to the governance expectations in the NAIC AI Model Bulletin, and to the separate guidance California, Colorado, New York and Texas issued instead of it. We've shipped models that have passed CCAR/DFAST-style scrutiny and state regulator review.

The NAIC adopted the Model Bulletin on the Use of Artificial Intelligence Systems by Insurers on December 4, 2023. It asks insurers to run a documented AI systems program covering governance, risk management and internal controls across the model lifecycle, and it sets out what a department can request during an investigation or market conduct exam. Twenty-five jurisdictions had adopted it as of the NAIC's April 2026 implementation map; California, Colorado, New York and Texas issued their own insurance-specific guidance instead. The NAIC's AI Systems Evaluation Tool, a structured examiner questionnaire, is running as a 12-state pilot and is expected to be adopted at the 2026 Fall National Meeting.

No. SaaS is great for screening and at-scale commodity workflows. We build custom models per-deal where the analytical edge matters — cyber pricing, niche cat modeling, claim-segment automation. Different problem, different tool.