AutoDevOps

AI Agent Governance for the Regulated SDLC

The bet

Coding-agent rollouts in regulated engineering will stall on proving what the agent did, not on the model.

The thesis

Coding agents are already inside regulated engineering teams, often unapproved. Rollouts stall at the question every change process asks: what changed, who changed it, under what authority? For agent-written code, most cannot answer.

AutoDevOps captures every Claude Code, Cursor, and Codex session to the tool call, and policy allows, confirms, or blocks each action before it runs. An append-only log in institution-controlled storage exports evidence packages that verify offline, without exposing prompts or source code the strictest institutions cannot share.

The test: whether evidence-first governance turns coding-agent pilots into sanctioned production rollouts. If leaders attest to agent-written change without verifiable evidence, the bet fails. Examination history says they will not.

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