Project Budget Reallocation with Approval Chains

The problem

Budget reallocation requests are evaluated before committing to financial systems. Small reallocations within total project budget and PM authority auto-approve. Large reallocations or at-risk projects escalate to the PMO with risk context. Every reallocation is logged with justification and policy version for project financial audit.

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: ESCALATE — project_risk_level = HIGH. All budget changes on at-risk projects require PMO approval.

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.

// Budget reallocation policy (CEL)
context.new_total <= context.original_budget * params.budget_variance_tolerance
  && context.reallocation_amount <= params.pm_authority_limit
  && context.project_risk_level != "HIGH"

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