PolicyLayer
Centralizes team decisions into a versioned playbook that AI agents follow, routing uncovered questions to the right owner, and recording new rules.
PolicyLayer is a system of record for AI agent authority that centralizes team decisions into a versioned playbook, preventing coding agents from repeating mistakes and ensuring they ask the right person when a situation is not covered. It targets engineering and operations teams in mid-market and enterprise companies that use AI coding agents. It is delivered as a SaaS platform that integrates with agents via an MCP registry and a one-command setup, requiring no code access or migration.
Key features
- Versioned and signed team rules
- One-command setup with no code access
- Imports existing rules as playbook v1
- Routes questions to decision owners
- Pauses only the affected task
- Collects answers asynchronously
- Works with Claude Code, Codex, Cursor
- Requires human approval for new rules
- X<0.1/day
GTM channels
- Blog
- Partner program
- Marketplace
- API
- Docs
ICP
- Engineering teams
- Operations teams
- Enterprises