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AI governance

Route: /org/ai-governance · Permission: AI governance — view (manage to set role caps) Module: AI Studio · Entry points: Settings → AI · global search "ai governance"


What this is. What your organization's AI cost, who spent it, and every change it made. What it is for. Answering "what is the AI actually doing in here?" with evidence rather than assurance. The problem it solves. AI features are easy to switch on and hard to account for. This is the accounting.


1. What the page shows​

Figure 1 — AI Governance: the five totals, Where the credits went, and the Monthly credit ceiling per role.
SectionAnswers
TotalsCredits used and left, runs, how many fell back to a non-AI answer, estimated cost
Where the credits wentBroken down by capability, by person, or by day
Monthly ceiling per roleWhat each role may spend, and what it has spent
What AI changedEvery change an AI applied, with before and after, and whose authority it was
How AI is used hereA plain statement for the people who must answer that to a regulator or a customer

2. The change ledger​

Every time an AI capability changes real data — the Orbit Agent applying an approved action, someone clicking Apply on a risk intervention, an assistant write tool — a line is written recording:

  • what changed, with the values before and after
  • who it was applied as (usually the Orbit Agent system user)
  • on whose authority — the person who approved it
  • which capability proposed it
This record cannot be edited or deleted

The database rejects an UPDATE or DELETE on the ledger outright. An audit trail that can be quietly corrected is not an audit trail. A wrong entry is answered by appending, never by rewriting.

The Orbit Agent is a system user with no password and no organization. It cannot sign in. It exists only so that a change made on someone's approval has an honest author.

3. Monthly credit ceiling per role​

Set a monthly credit ceiling on any role. When the people holding that role have spent it:

  • their AI calls fall back to the non-AI answer rather than failing — nobody is left staring at an error they cannot act on
  • the ceiling resets on the first of the month
  • scheduled jobs are never capped: they belong to no role, and a nightly risk run must not stop because one team ran out of budget

0 means no cap. Needs AI governance — manage.

4. CSV export​

CSV downloads the raw usage log for the chosen dates: timestamp, capability, person, status, whether it fell back, credits and estimated cost — one row per call, up to 50,000.

5. Who can see this​

Seeded on the admin role tier only, deliberately: the page shows what every named person spent and everything AI changed.

This closes a gap, and will take access away

Before this page existed, the organization-wide AI usage logs — which contain every AI call's inputs and outputs — were readable by any signed-in user. GET /org/ai-utilities/usage-logs and /usage-stats now require AI governance — view. If internal tooling read those endpoints, grant it the permission.

GET /org/ai-utilities/settings deliberately stays open to any signed-in user: it is a feature gate every AI surface reads, not usage data.

6. The Orbit Agent​

Switched on per project in Project settings → Risk. When enabled, it reviews that project's risk radar each morning and proposes a few actions.

ControlDefaultWhat it does
Let the agent proposeOffNothing happens until this is on
What it may proposeReassign, extendThe two reversible verbs. Descope, unblock and escalate post a comment for the owner and must be added deliberately. Splitting a task is never proposed — that needs a person
Most proposals per day5A flood of proposals is how an assistant becomes noise people stop reading
Proposals lapse after3 daysA proposal nobody looked at is not an instruction
Approver rolenoneWhen set, only holders of that role may approve — on top of Manage risk radar
The agent never applies anything by itself

Approving is what applies a change. It then goes through the same route, the same permission checks and the same ledger as a manual edit. The auto-apply settings you may see in the database are seeded and deliberately not connected to any code.

Each proposal can be previewed before approval — the same what-if that shows you how the risk picture moves, without changing anything.

7. Administrator setup​

StepWhere
Apply migrations 001175, 001176, 001177Release-0.1.6/
Grant org.ai.governance.menu/.view/.manageSettings → Roles
Switch on the agent per projectProject settings → Risk
Verify the ledger is append-onlyRun the UPDATE in the manual-actions doc; it must fail

8. Downstream​

  • Risk radar — the agent's proposals panel and its settings
  • Project settings → Risk — the agent controls
  • Every apply path across Orbit Ops AI writes to the ledger this page reads

9. Don't confuse this with…​

ThisThat
AI governance — organization-wide spend and changesAI Utilities — which capabilities exist and their per-utility limits
The change ledger — what AI changed to your dataThe usage log — every AI call, including ones that changed nothing
Role credit cap — a monthly ceiling per rolePer-utility monthly limit — a ceiling per capability, set in AI Utilities
Orbit Agent — proposes on a scheduleRisk advisor — answers when you ask

10. Troubleshooting​

SymptomCauseFix
The page 403sMissing org.ai.governance.viewGrant it in Settings → Roles
The ledger is emptyNothing has been applied through an AI path yetApply a risk intervention, or approve an agent proposal
Someone's AI stopped workingTheir role hit its monthly ceilingRaise the cap, or wait for the month to roll
No agent proposalsThe agent is off for that project, or nothing was worth proposingCheck Project settings → Risk; the nightly job must be enabled
"Your role is not allowed to approve"The project sets an approver roleAsk a holder of that role, or clear the setting