Should we waive this £15 late fee?
Charged during a confirmed outage. PolicyLayer routes the question, parks the case and lets the agent keep working.
When your agent hits a company decision its instructions don’t cover, PolicyLayer asks the owner and lets the agent keep working. The owner’s answer lets the agent finish that case. Human approval turns that decision into a rule every agent can reuse.
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Charged during a confirmed outage. PolicyLayer routes the question, parks the case and lets the agent keep working.
Across more than 50 real support cases, human decisions became seven approved rules. The agent stopped pulling the same people into the same questions.
Every approved rule expanded what the agent could handle on its own and freed the team from repeating work.
Less time answering the same question. More cases closed without waiting on a human.
PolicyLayer can capture answers and draft rules. Agents receive new authority only after a person approves it.
Until a rule is approved, the answer cannot grant authority in another case.
PolicyLayer drafts from repeated decisions. A person approves, edits or rejects every rule.
Approved rules go into the next signed playbook version and reach every agent that uses it.
If PolicyLayer is unavailable, the agent falls back to its last signed playbook and gains no new authority.
Export every version and keep the same company judgment when you change model or provider.
Keep your agent’s model, tools and schedule. Add three PolicyLayer tools; handle questions and approvals in Slack.
Running a Claude Managed Agent? See the exact setup →get_playbook Load the latest signed company playbook.
ask_policy Park the unresolved case and route one question to its decision owner.
get_answer Return the decision with its owner and context.
PolicyLayer uses standard MCP. Your company’s rules stay intact across models, frameworks and MCP clients.
PolicyLayer is the system of record for AI agent authority.
Prefer to talk first? Ask about a design partnership