The controls a team at your scale needs.
Access. The record. Cost governance. Built in, not bolted on.
Talk to the teamThree pillars.
The controls an org at your scale needs. In the engine from day one, not a security audit retrofit six months later.
Access
An AI gateway brokers every call. The matrix is the policy — version-controlled and attributable.
- Role → skill → model matrix is the running system, not a document
- Architects reach
/design-review(premium tier). Engineers reach/commit(standard tier). Governance holds/veto-wialone - Every call logged with role + skill + model + cost + outcome
- Rate limits and hard gates enforced at the gateway, not in application code
- Editing the matrix changes the live system immediately; diff is reviewable
Accountability
Every change attributable. Every decision traceable. An independent reviewer with veto authority — separate from the team doing the work.
- Every change is attributed to a named role — find the history of any change in one search
- The independent reviewer is a separate role; it can only read and veto — never author code
- An immutable record of every change — no entry can be removed or altered after the fact
- Recent example (sanitized): the reviewer caught a change introducing a secret in a config default — vetoed at review-open, before the secret reached production. Three lines in the record: what tripped, who shipped it, which rule it violated
- Veto authority is mechanical — no discussion needed; the violation is self-documenting
Cost Governance
Right-sized AI per role. Published per-cycle cost tab. No surprise invoice at billing close.
- Architects get the premium tier (heavy reasoning). Engineers get the standard tier. Git-log summarisers get the lightweight tier (mechanical)
- Per-cycle budget cap with hard gate — the engine stops before overrunning, not after
- Published cost tab at every cycle close: total spend, per-role breakdown, model mix
- Defect pattern library prevents the engine from re-running expensive failing paths
- Cost control is structural — no unbounded agent loops, no open-ended token spend
Why this matters for an org at your scale.
At startup scale, one engineer can hold the whole system in their head. They know who ran what command, why the cost spiked last Tuesday, and which role merged the change that broke staging. At org scale — three engineers, a PM, and a founder all touching the same AI engine — that context evaporates. You need access control so the wrong role can't call the wrong skill. You need attribution so every decision has a name attached. You need cost governance so AI spend doesn't quietly compound across every cycle until it shows up as a surprise invoice. These aren't bureaucratic add-ons. They're the controls that let the engine keep running as your org grows past the point where one person can keep track of everything.
The full technical surface — AI gateway, role catalog, schema substrate, composable hooks.
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