AI Usage Governance

Limit AI spend by department

Real-time budget enforcement across departments, teams, users, and agents.
One API call, milliseconds before the model runs.

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Without governance, your best customers are your biggest liability.

AI inverted software economics. In SaaS, your heaviest users paid a flat seat fee and were your most profitable. In AI, token costs scale with usage, so they're your most expensive. One power user drains an org's allocation in hours. A runaway agent does it in minutes. You find out when the invoice lands

Your enterprise buyers see this too. They won't sign a six-figure AI contract without controls.

Dashboards tell you what happened. Governance controls what's allowed to happen.

Stigg gives you enforcement. A sub-10ms decision in the request path, before the model call proceeds. Not "we'll alert you when spend is high."

A live check:
Does this user, on this team, for this model, have budget left? Yes or no. Now.

The Governance Engine

A real-time enforcement layer between your app and your billing stack. One API call enforces budgets across every level of the org, denies before the cost is incurred, and attributes every token.

Hierarchical allocations

You set the entity taxonomy: department, team, user, agent, cost center, workspace. Customers build their own trees. Budgets cascade down. Usage rolls up.

Real-time enforcement

Every request hits one check: does this entity have budget left? A decision in milliseconds, before the inference call fires. Hard limits block. Soft limits alert.

Cost attribution

Know which team, user, model, and feature is spending. Not a monthly report. A live signal you can query, alert on, and expose to finance teams.

GET /api/v1-beta/customers/{id}/entitlements/check
    ?featureId=ai-credits
    &dimensions[teamId]=marketing
    &dimensions[userId]=jane

{
    "isGranted": true,
    "chains": [
        {
            "entityId": "marketing",
            "usageLimit": 10000,
            "currentUsage": 7234
        },
        {
            "entityId": "jane",
            "usageLimit": 500,
            "currentUsage": 312
        }
    ]
}

Your org chart is your budget

Enterprise AI governance mirrors org structure. That's not a limitation. It's the insight.

100,000 credits across departments, teams, and agents. Without hierarchy, they all draw from one pool. One power user starves the rest.

Stigg lets customers set their own hierarchy and allocate at every level. Parent limits are ceilings. Child allocations subdivide them. Usage rolls up in real time.

Org gets 100,000. Marketing gets 25,000. The campaign team gets 10,000. Jane gets 500. Jane's agent gets 100 a day. Every level enforced. Every level visible.

Set limits across any dimension

Marketing has 25,000 credits a month. But only 5,000 for GPT-4. And only 2,000 for the DataViz feature in the UK region. Stigg does multi-dimensional allocations: budgets by entity and by model, feature, product, or region. Any combination.

One tree. Multiple lenses. Same milliseconds check.

Turn a sales blocker into a selling point

Stigg ships an embeddable governance portal. Your customers' admins set budgets, configure alerts, and manage limits, all self-service. No support tickets. No custom builds. Your buyer gets the controls they demanded. Your product team ships them without writing code.

What used to stall deals for quarters now closes them.