Cost and Usage Management
This page is a policy starter for controlling spend and usage drift.
Policy Objective
Keep AI coding tool spend visible, predictable, and tied to engineering value.
Scope
- per-seat subscriptions
- usage-based APIs
- premium models
- MCP or hosted integration costs
Audience
- engineering managers
- platform owners
- finance-aware team leads
Mandatory Requirements
- every paid tool needs an owner
- pilot usage must be time-boxed
- premium access should be justified by workflow value
Recommended Controls
- track tool owner, plan, renewal, and user count
- separate evaluation budgets from standard licenses
- review low-usage paid seats quarterly
Approval Process
Use paid or premium tiers only after a workflow-specific pilot demonstrates value.
Audit Evidence
- seat inventory
- usage reports where available
- pilot outcomes
Enforcement
Unused or unjustified paid access should be removed.
Copy-Ready Policy Template
Paid AI coding access must have a named owner, intended workflow, and quarterly review date.
Premium model access should be limited to users or teams with a demonstrated need.
Adoption Checklist
- owner assigned
- budget path defined
- quarterly review scheduled
Verification Note
Template only. Plan names, billing models, and enterprise controls vary by vendor.