Cap spend per role, per week, with alerts before anyone hits the limit.
AI features are not just tokens and latency—they are a line item. As soon as copilots and automations scale across SDRs, AEs, and CS, usage stops being anecdotal and becomes a forecast problem. Budget policies in CRAIM exist so finance and RevOps can treat "AI employees" like any other resource: bounded, observable, and adjustable.
Per-role and per-week caps
You can set weekly spend limits by role, team, or workspace. Limits apply to metered actions such as model calls that incur provider cost above the included pool, premium retrieval, and third-party enrichment hooks you connect. When a user approaches the threshold, they see in-product warnings; when they hit it, drafting still works for core workflows but premium paths pause until the window resets or a manager raises the cap.
This is deliberately blunt. We are not trying to simulate perfect marginal cost in real time. We are giving operators a brake that matches how budgets are approved in the real world: weekly planning, occasional exceptions, and a clear paper trail when someone overrides.
Alerts before the limit
Approvers and workspace admins receive alerts at configurable percentages of the cap—typically seventy-five and ninety percent. Alerts can go to Slack or email so the right person can decide whether to rebalance seats, move a campaign to a cheaper model tier, or investigate a runaway integration.
For larger orgs, we recommend pairing budgets with the approvals article in this journal: when spend spikes correlate with approval friction, you often find a policy gap, not a bad actor.