AgentOps ControlplaneAgentOps Controlplane
Now in early access

Govern your AI agents in production

Replace scattered scripts and vendor dashboards with a unified control plane. Register, run, observe, and enforce policy across every autonomous workflow — from one provider-agnostic platform.

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AgentOps Controlplane dashboard showing agent registry and run orchestration
SOC 2 aligned controlsProvider-agnostic connectors99.9% uptime SLAFull audit trail

Everything you need to operate agents reliably

A single operational layer that covers registration, execution, monitoring, and governance — so your team can ship with confidence.

Agent Registry

Catalog every agent with versioned prompts, tools, models, and configs. Review changes before they reach production.

Run Orchestration

Launch manual, scheduled, or webhook-triggered runs. Chain handoffs across environments with rollback paths built in.

Policy Enforcement

Define RBAC, approval gates, and budget limits. Block out-of-scope actions automatically while keeping legitimate work flowing.

Full Observability

Capture logs, traces, and per-run costs in one place. Know who did what, when, and how much it cost.

Cost Attribution

Attach spend to every agent run. Spot cost anomalies early and allocate budgets across teams and workflows.

Provider Agnostic

Connect any model API, ticketing system, or database via scoped connectors. No vendor lock-in, no single-provider assumption.

From registration to production in minutes

Connect what you already use — then expand. Start with one workflow and scale to your entire agent fleet.

  1. 1

    Register your agents

    Import agents from any provider. Version prompts, tools, models, and configs as reviewable artifacts.

  2. 2

    Set policies and environments

    Define RBAC, approval gates, and budgets. Promote agents from dev to staging to production with clear boundaries.

  3. 3

    Run, observe, iterate

    Launch runs manually or via schedule/webhook. Monitor traces, costs, and outcomes. Rollback when needed.

Agent workflow diagram showing registration, policy, and execution steps

Trusted by platform teams

Engineering teams use AgentOps Controlplane to bring order to agent operations.

We went from six different dashboards to one. Our on-call engineers can now trace any agent run end-to-end in seconds.

Platform Engineering Lead

Series B AI Infrastructure Company

The policy engine caught three out-of-scope data queries in the first week. That alone justified the switch from our ad-hoc scripts.

Security Operations Manager

Enterprise SaaS Provider

Cost attribution changed how we plan. We can finally tell product owners exactly what each agent workflow costs per month.

MLOps Team Lead

Global Financial Services Firm

Detailed view of the observability and cost attribution dashboard

Debug faster. Spend smarter.

Every agent run is fully traced — from the triggering event through each tool call and model response to the final outcome. Cost is attached at every step.

  • End-to-end run traces with latency breakdowns
  • Per-run and per-agent cost rollups
  • Policy violation alerts with root cause context
  • Replay prior inputs against new versions for comparison

Ready to bring order to your agent operations?

Start with one workflow, expand to your entire fleet. No vendor lock-in, no black-box automation.