Argbit
AI governance

Move fast without losing control.

AI governance should enable adoption rather than prevent it.

Argbit helps organisations create practical controls around how AI systems access information, make decisions and perform actions.

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Areas we cover

Controls that live in the system, not in a document.

Access and boundaries

  • Identity and access
  • Data boundaries
  • Tool permissions
  • Operational controls

Quality and behaviour

  • Model evaluation
  • Prompt and configuration management
  • Monitoring
  • Model risk

Accountability

  • Auditability
  • Human approvals
  • Security
  • Cost monitoring
Control surface

What a governed AI system looks like in practice.

Each control is implemented as engineering, with evidence a risk function can inspect.

ControlScopeImplemented as
Tool permissionsPer agent, per environmentPolicy
Human approvalRisk-weighted actionsWorkflow
Evaluation gateEvery releaseCI
Audit recordEvery tool invocationImmutable log
Cost ceilingPer task and per agentBudget

Need adoption without losing oversight?

Describe your risk environment and we will map the controls that belong in the architecture rather than in a policy document.

Start a conversationNo AI theatre. Just engineering.