A provider-flexible control layer for production AI agents, giving organisations a consistent way to manage identity, permissions, approvals, observability and operational evidence.
Identity & permission control
Define which agent can act, which systems it can reach and which tools it can use.
Human approvals
Route consequential actions to named human owners before sensitive or irreversible steps are taken.
Runtime policy
Apply limits for tools, data, destinations, budgets and action types while agents are operating.
Audit & evidence
Maintain reviewable records of inputs, approvals, tool use, outputs and exceptions.
One governance model across multiple agents and model providers.
The aim is to keep organisational control consistent even as underlying models, agent frameworks and business systems change.
Start with one governed workflow.
We can map the process, risk points, approvals and evidence requirements before a wider deployment.
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