Your agents know how to execute. PolicyLayer teaches them what they are authorised to decide.
PolicyLayer captures what your company has already decided, routes unresolved cases to the person who owns the decision, and turns approved precedent into reusable policy for every agent.
The existing playbook permits one repayment-date change. It does not say whether a second change is allowed when the customer has already made a partial payment.
It has enough intelligence to execute and enough access to cause consequences, but no reliable way to know what your company would decide at the edge of the playbook.
The agent escalates routine exceptions, the same questions recur, and the people with the most judgment become the bottleneck the automation was meant to remove.
The companies that win the agent era will not have the smartest models. Everyone has those. They will have judgment that is legible enough to delegate.
Every agent starts with the latest approved version of company policy, signed and cached locally.
→When policy does not settle a case, the agent pauses and sends one focused question to the person who owns the decision.
→The answer resolves the live case and enters the governed ledger with its context, owner and provenance.
→When similar decisions recur, PolicyLayer drafts a reusable rule. A human approves, edits or rejects it.
→Every relevant agent receives the approved rule. That class of case no longer needs to escalate.
↺PolicyLayer ran in shadow mode against Wollit’s production support queue. Real cases produced real questions, founder answers became approved rules, and the next batch was measured against the new playbook.
Historic replay and live production tickets, truncated before the team’s answer.
After one governed promotion pass of seven approved rules.
Questions from ruled-on classes in the post-promotion batch.
The agent stopped every time company judgment was genuinely missing.
Prompts change, models get replaced and fine-tuning weights become obsolete. PolicyLayer stores the learning outside the model as governed policy and precedent.
rule repayment_date_second_changeCASES 418, 391, 376authority: act_with_approvalVERSION 14Every promotion is backed by ledger evidence. See escalations fall, policy coverage rise and classes of work move safely from draft to act alone.
Start with one agent. Find the gaps in its playbook. Answer each question once.
Replay your first twenty cases, see where your agent needs judgment, then take the loop live.