From black box to full visibility.
Companies running AI in production without observability are flying blind. Control wraps every request, every tool call, every agent decision with structured provenance. When something goes wrong, you see which agent, which session, which input, which cost. Approvals and audit live on the same surface as telemetry — one ledger, one truth. The reason regulated industries say yes.
Every action counted.
Watch agents work step by step, with cost, latency, and quality on every line.
Three pillars.
Immutable audit trail
Every request, every tool call, every response is logged with structured metadata. Follow a chain from start to finish, no matter how many steps or agents it took.
Quality as metric
Automatic evaluations on outputs. When a model or prompt starts drifting, you see it in a chart, not in a customer complaint.
Human approval loops
Thresholds for cost, latency and failure rate. Control escalates when something breaks the envelope. EU AI Act, GDPR, and DORA compliance as defaults, not afterthoughts.
Under the hood.
Traces, evals, approvals. One view.
Who is it for?
You need your compliance team to say yes to AI in production. You need data, approvals, and audit trails to make decisions about what your agents are doing.
You are still prompting in a terminal window. Control adds value when there is something to govern.
Trust.
AI without governance is debt that grows every second. Control makes it visible, governable, and auditable. No agent runs without it.