The problem
The NAIC Model Bulletin pushes carriers to run a documented program governing how AI is used across its lifecycle. Most carriers have that program as a policy document the development tooling never reads, so the written controls and the actual engineering practice drift apart, and the gap is what a regulator finds.
How Encephalon addresses it
Encephalon’s Enterprise AI Governance Practice takes the program’s development-facing controls and encodes them so every Claude Code session honors them, with departures flagged for human review. This governs the engineering practice that builds and documents your AI-supporting systems. It complements your model-monitoring and AI-oversight functions rather than replacing them, and we draw that line explicitly because a carrier that blurs it loses credibility with its own regulator.
The outcome
The parts of the AI governance program that touch engineering stop being shelfware. When a state insurance department asks whether your documented controls are actually applied in development, you can show that they are, with evidence generated by the work itself. That is a more defensible position than a well-written binder.
Book a 30-minute discovery call to map your program’s controls to the coding session.