Enterprise add-on · AI usage, spend and control

GovernorKnow who uses which AI, what it costs, what it returns — and keep every model, tool and piece of context inside policy.

Every Enterprise plan already includes Super Amplify's AI governance console: company identity, organization policies, model and tool rules, approvals and the audit record. Governor is the add-on that extends it to all the AI your people use, inside and outside Super Amplify — a model gateway with budgets and hard spending caps, usage, cost and ROI reports reconciled against your invoices, an inventory of AI tools, and context policies that decide what organization context each tool may receive.
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Model gateway for Anthropic- and OpenAI-compatible toolsPersonal gateway keys and a vault for company provider keysBudgets with hard caps by company, team, person, tool and keyUsage, cost and ROI reports, reconciled with provider invoices

Enterprise add-on. The AI governance console — identity, policies, approvals and audit — is included in every Enterprise plan. Governor adds the gateway, budgets, reports, inventory and context governance.

Who it's for

  • CIOs, finance and security leaders asked to approve AI spend without visibility
  • Companies whose teams already use Claude Code, Codex, ChatGPT and other tools on company keys
  • Regulated teams that need adoption, cost control and audit-readiness at the same time

Product demo

Watch Governor in action

Governor end to end: a coding tool routed through the gateway, a budget cap holding, the usage and ROI report, and a context policy narrowing what a tool receives.

Governor end to end: a coding tool routed through the gateway, a budget cap holding, the usage and ROI report, and a context policy narrowing what a tool receives.

Product demo · Watch at your own pace

What it does

What Governor does for you

AI usage, spend, ROI and control across every tool your people use

Puts every AI call on one meter

Claude Code, Codex, scripts and SDKs point at your company's gateway with a personal key. Each call is checked against model rules and tool holds, reserved against budgets before it runs, and settled with its exact tokens and cost.

Stops overspend before it happens

Monthly budgets for the company, each team, person, tool or key warn your admins and then cap spending. A paused key or a quarantined tool stops at the gateway, not at month-end.

Shows usage, cost and return together

Reports break activity down by person, team, tool and model, compare estimated cost with imported invoices, and set it against measured outcomes — exportable and scheduled to the people who need them.

Governs context, not just models

Context policies decide which data areas, sources and classifications each surface or tool may receive and what may be promoted into company memory. A simulator shows what a person or tool would get, and every delivery leaves evidence.

Model gateway for Anthropic- and OpenAI-compatible toolsPersonal gateway keys and a vault for company provider keysBudgets with hard caps by company, team, person, tool and keyUsage, cost and ROI reports, reconciled with provider invoicesInventory of AI tools, keys and connectionsContext policies, a delivery simulator and trace-based evidence

How it works

How Governor works, step by step

  1. Keep the boundary you already set

    Your organization policies, approvals and audit from the included governance console carry straight over; Governor builds on them rather than replacing them.

  2. Route tools through the gateway

    Store the company's provider keys once, issue personal gateway keys, and let one connector command point Claude Code and Codex at the gateway.

  3. Set budgets and context policies

    Add caps where spending matters, and write context policies for the tools and data areas that need tighter delivery. Preview their effect in the simulator before turning them on.

  4. Review with real numbers

    Use reports, the inventory and context evidence on a monthly cadence to expand what works, retire what doesn't, and reconcile spend with your invoices.

Case study

From shadow AI to an approved, auditable AI program

Anonymous compliance-heavy operating team

The challenge

Leadership wanted AI adoption and feared it in the same meeting. Teams were already using assorted AI tools informally, nobody could say with what data, and every formal request stalled because security had no visibility to approve against. The choice looked like 'ban it or bless everything.'

What Governor did

The company stood up Governor as its control plane: identity and teams mapped, approved models and tools connected through governed paths, sensitive actions set to require approval, and activity flowing into one reviewable record. Shadow usage was converted into approved workflows team by team.

Governance built in

Work runs under your company's identity, permissions, and approval policies — with Super Amplify's SOC 2 Type I and Type II audited controls behind it.

What changed
Leaders gained a single view of who uses AI, on what, at what cost — and what policy decided
Use-case approvals moved from ad-hoc debates to a monthly evidence-based review
Security and compliance stakeholders got records they could actually audit, aligned to SOC 2 controls
Try this playbook yourself
  1. 1Start a one-page AI use-case inventory today: workflow, owner, data involved, tool used, approval status. In most companies this exercise alone surfaces the shadow usage that matters.
  2. 2Classify data into three tiers — never enters AI, allowed with approval, freely usable — and publish it where everyone can find it.
  3. 3Formally approve two or three low-risk use cases instead of tolerating informal usage, so the governed path is also the easy path.
  4. 4Put approvals on a monthly cadence with usage and cost in the room. Governance that meets monthly becomes a rhythm; governance that meets per-request becomes a queue.
The honest takeaway

Governor did not create adoption, and its first reports mostly documented usage that was already happening unofficially. The value came from converting that shadow usage into approved, monitored workflows. Expect the inventory phase to be uncomfortable — it is also the phase everything else depends on.

Anonymized example based on real Super Amplify delivery patterns. Outcomes depend on scope, data quality, and team readiness.

Metrics worth tracking
Approved use cases versus known informal AI usage
Time from use-case request to a governance decision
Percentage of AI activity flowing through governed, recorded paths

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Governor

Govern your AI with Governor

Bring one real workflow. We'll show you Governor on your own context — what it does, how it works, and where the human stays in charge.
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