Portera AI Governance
The control centre reads your platforms directly — gateway telemetry, cloud resource inventory, billing exports — and keeps one record per AI asset at each level of the taxonomy. The answers come from the estate, not from a spreadsheet somebody maintains.
Every record in the register classifies to a level and a pattern before anything else happens to it. The level decides the record shape and where cost is metered. The pattern decides which controls apply.
Where AI executes, and where metering and policy can be enforced.
What a user or a process touches. Owned by a business owner, carries the value case.
The capability inside an application. Where the model, the prompt and the guardrail live.
Cost allocates upward: metered at L1, attributed to the L2 that called it, split to the L3 that did the work. Risk assesses downward: the tier set at L2 determines the control set each L3 inherits. An L3 that appears without an L2 owner is the most common finding on first connection.
The control centre is the surface. Underneath it sits the governance that makes the answers true.
Five patterns across three composition levels. The pattern drives the control set; the level drives the record shape and the metering point.
One record per asset at L1, L2 and L3, keyed to the platform identifier. Registration is a gate at intake, and the register is the reuse check before anything is built.
Deterministic rules keyed to pattern and lifecycle phase. Each has a trigger, an accountable owner, a verification method and an evidence location, enforced in the pipeline rather than requested later.
AI profile, data classification, risk tier, approval and decision record, versioned with the asset so an auditor reads the record instead of interviewing the team.
Cost drivers per pattern, a rate source per platform line, consumption metered at the gateway and allocated L1 to L2 to L3 against a named cost-centre owner.
One intake path, six gates from capture to realise, one value and cost tree. Baseline frozen at commit, realised value reconciled quarterly.
Portfolio view by pattern, tier, owner, run cost and realised value — the basis for funding, defunding and the evidence pack at audit.
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AI is provisioned on four or five platforms by teams who do not report to each other. Gateway telemetry and resource inventory reconcile into one register, including the assets nobody declared.
Security requirements, platform controls and audit's matrix exist as three separate lists. They resolve into one deterministic rule set, keyed to pattern and lifecycle phase.
Consumption is billed at platform level and stops there. Metering at the gateway allocates it down to the application and the function, against a named cost-centre owner.
Business cases are written to pass a gate and never revisited. The baseline is frozen at commit and reconciled against run cost each quarter.
Assurance goes looking for evidence that was never captured. Evidence location is a field on the control, populated at the time the control fires.
Two teams build the same extraction pipeline because neither can see the other. The register is the reuse check at intake.
An architect replies. Not a salesperson.
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