Control monitor, enforce, and govern your AI agents.
Full observability over latency, cost per token, and model usage. Set guardrails, audit every decision, and ensure your AI stays within the rules you define.
Why control matters
What the control room gives you
Real-time observability
Latency, cost per token, usage per model and per scenario. Dashboards and alerts so you can act before costs or drift pile up.
Cost control
Budgets per team, project or model. You answer the CFO and avoid surprises on the AI bill.
Audit and compliance
Every run is traced: inputs, outputs, model used, duration. Export for audits and regulatory compliance.
Guardrails and limits
Define rules (thresholds, allowed models, human validation). AI stays within the scope you've approved.
Common questions
What we're asked
"We don't need to trace everything, we trust the teams."
In production, traceability is essential for debug, compliance and cost review. Origin 137 traces by default, with no extra effort.
"AI costs are negligible for us."
At scale, cost per token adds up quickly. Observability lets you see where the budget goes and adjust before it becomes a problem.
"We already have logs / a monitoring tool."
Origin 137 aggregates cost, model, latency and business context (scenario, agent) in one place. It's built for AI, not generic logs.
"How do we enforce rules without blocking business?"
Rules upfront: allowed models, thresholds, optional validation. Business iterates within the scope; IT defines the scope.
"What if there's an incident or drift?"
Configurable alerts, version rollback, and full traceability to analyze what happened. You fix and deploy a new version.
In practice
What you have at your fingertips
- Dashboards: latency, cost per token, usage per model
- Audit logs per run (inputs, outputs, model, duration)
- Configurable budgets and alerts
- Rules and guardrails (allowed models, thresholds, validation)
- Export for compliance and internal review
Ready to deploy your AI agents?
Start for free or book a demo.
