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 its playbook has no answer, PolicyLayer sets the case aside and asks the person who owns that decision. Your agent keeps working. Human approval turns the answer into a rule every agent can reuse.
Prefer to talk first? Ask about a design partnership
Charged during a confirmed outage. PolicyLayer routes the question, parks the case and lets the agent keep working.
A customer was charged a £15 late fee after trying to pay during a confirmed outage. The support agent could waive the fee, but its playbook did not say when it should.
Using a Claude Managed Agent? See the exact run →The agent could waive the fee. PolicyLayer parked this case because the playbook did not say whether it should.
“Yes, waive it. The outage was ours.”
The decision owner approved the limit. PolicyLayer added it to the next playbook, so the agent can point to the rule it followed.
Across more than 50 support cases, human decisions produced seven approved rules. In the next 20, the share needing human judgment fell from 40% to 20%, repeat questions fell from six to zero, and the agent never acted beyond its rules.
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 version of the playbook, which reaches 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 playbook stays intact across models, frameworks and MCP clients.
PolicyLayer expands the work agents can complete without outrunning company judgment. That means fewer stalled opportunities, less work waiting on senior people and fewer costly mistakes.
Answers become rules. Rules widen what the agent may do. The agent finishes more work.
Move opportunities forward faster by giving agents authority to resolve more decisions in the moment.
Increase throughput while reserving senior judgment for genuinely new decisions.
Expand agent autonomy while keeping decisions consistent, accountable and within clear boundaries.
PolicyLayer is the system of record for AI agent authority.
Prefer to talk first? Ask about a design partnership