AI Compliance Escalation Workflow

The answer

Escalation is a first-class outcome in Corules alongside ALLOW and BLOCK. When a decision falls in a gray area — fraud score near the threshold, a decision that requires a higher authority level, an exception request — the system returns ESCALATE rather than making a probabilistic judgment. The escalation response carries full context: the specific condition that triggered escalation, the relevant policy rule, and all input data needed for the human reviewer to make an informed decision. Humans review what needs human review. Everything else flows automatically.

How it works

Corules's policy runtime sits in the enforcement path between your AI agent and the action it wants to take. The agent sends a structured context payload to /v1/validate. Corules evaluates the context against a compiled CEL policy set and returns a structured decision — ALLOW, BLOCK, or ESCALATE — with a reason and audit ID.

Every decision is recorded in an immutable audit ledger. You can replay any past decision by providing the policy_set_version and the normalized input hash — the result will be identical.

Policy example

Policies are written in CEL (Common Expression Language). They are compiled once at publish time and evaluated in microseconds at request time.

// Escalation conditions are explicit in policy
fraud_score >= params.fraud_escalation_threshold
  ? "ESCALATE"
  : fraud_score >= params.fraud_block_threshold
    ? "BLOCK"
    : "ALLOW"
// Human reviewer receives: fraud_score, fraud signals, claim context

Frequently Asked Questions