Compliance Exception Request with Escalation Framework

The problem

Exception requests (e.g., extended payment terms for a key customer, a rule waiver for a pilot program) are evaluated by Corules. Low-risk exceptions within established parameters auto-approve with required documentation. High-risk exceptions escalate with business justification and required compensating control. Every exception carries an expiration date enforced at policy runtime.

Without deterministic enforcement, AI agents either block every edge case (adding manual overhead) or silently approve decisions that violate policy — with no audit trail to show auditors or regulators.

How Corules solves it

Corules sits between your AI agent and the action it wants to take. When the agent proposes a decision, Corules evaluates the full context against your compiled policy set in a single deterministic pass — no LLM, no ambiguity.

The result is a structured outcome: ALLOW — Low-risk exception with documented compensating control. Auto-approved for 45 days.

Policy example

Corules policies are written in CEL (Common Expression Language). They are compiled once at publish time and evaluated deterministically at request time — no LLM, no variability.

// Exception approval policy (CEL)
context.exception_risk_level <= params.auto_approve_risk_threshold
  && context.compensating_control_documented == true
  && context.expiration_date <= timestamp_add(now(), duration('90d'))

This expression is evaluated against the structured context your agent sends in the /v1/validate request.

Integration options

Corules integrates with the tools your teams already use. All integrations call the same REST API or MCP server — your policy logic stays in one place.

Frequently Asked Questions