Agents central command

The operating standard for AI agents at work

A runtime decision layer for AI agents before they send, spend, change, delete, or escalate - with human approval, agent inventory, ownership, escalation, and audit trails.

Approval hierarchy · Agent inventory · Signed evidence

Start free · View docs

Decision flow

Every risky action gets an owner.

Contro1 queues high-impact agent actions, routes each one to the right owner, tracks the SLA, and records the decision so nothing acts without accountability.

Visibility & oversight

The system of record for your AI agents.

See every agent acting for you, govern who can act, and prove exactly what they did - in one control plane.

Discover, verify, and monitor every AI agent acting on behalf of your organization. Auto-discovered, ready for EU AI Act and NIST reviews.

What is a system of record for AI agents?

Activity investigation

Know exactly what happened.

Every agent action, approval, rejection, escalation, and block is captured in one searchable timeline, tied to a verified agent identity, so teams can review decisions, investigate issues, and stay audit-ready.

  • See which agent acted, who approved it, and why
  • Reconstruct the full trail - tools called and data retrieved
  • Export HMAC-signed evidence for legal, security, and compliance

Built for readiness evidence: SOC 2, GDPR, HIPAA, ISO 27001, NIST AI RMF, and EU AI Act.

EU AI Act readiness · US governance readiness

Shifts

Your agents never stop. Your coverage shouldn't either.

Always route agent decisions to whoever is responsible, 24/7.

  • Coverage by role, department, and risk level
  • Timezone-aware routing
  • Fallback and on-call owners
  • Automatic escalation when SLA is missed

Try our official connectors

Microsoft AGT · Microsoft Teams · Lambda MicroVMs · LangGraph · OpenAI Agents SDK · Claude Code · Claude Managed Agents · CrewAI · n8n · Slack · Pydantic AI · Mastra · Strands Agents

AI Control Plane

One operating model for every AI agent.

Contro1 gives organizations a shared AI Control Plane for running agents in production: how decisions are routed, when humans step in, who owns each action, and how everything is recorded.

  • Decision standard - define when agents act, pause, or ask for approval.
  • Ownership model - route decisions to the right person, team, or shift.
  • Escalation rules - make sure late or ignored decisions don't get lost.
  • Audit history - record every agent action and human decision with context.

Pricing

Start with inventory and approvals. Scale into agent governance.

Map your AI systems, register agents, route risky actions for approval, and keep traceable evidence from day one. Start free with 3 seats and 1,000 approval requests per month.

Free - $0

For developers and small teams getting started with AI agent control.

  • Up to 3 seats
  • 1,000 approval requests per month
  • Register and manage AI agents
  • Agent ownership, hierarchy, and sub-agent visibility
  • Approvals from the dashboard, Slack, and Microsoft Teams
  • Connect through the API, CLI, and webhooks
  • Decision evidence for every approval request
  • 7-day audit history

Pro - Talk to us

For teams running AI agents in production. Everything in Free, plus:

  • Unlimited approval requests
  • Up to 100 seats
  • Unlimited audit history
  • Define what each agent can access and do
  • Block or disable agents instantly
  • Assign approval requests and track follow-ups
  • Exportable decision evidence
  • Same-day guided onboarding
  • Direct Slack and email support

Enterprise - Custom pricing

For organizations deploying AI agents across teams, systems, and critical workflows. Everything in Pro, plus:

  • Custom scale and capacity
  • Organization-wide agent control
  • Central policy management
  • Advanced roles and permissions
  • SSO and SCIM, including Microsoft Entra
  • SIEM and audit-log streaming
  • Custom retention and data residency
  • Private cloud and on-premises deployment
  • Air-gapped deployment options
  • Enterprise SLA and dedicated rollout support

Production Pilot - Starting at $5,000 per team

A structured 30-day engagement that puts Contro1 into one real production workflow, trains your core team, and creates a repeatable model for future agent rollouts.

  • Strategy first: we map your organization, agents, owners, critical actions, approval requirements, and operational risks
  • Core team enablement: your core team learns how to operate agents, define approval policies, handle exceptions, and lead future rollouts independently
  • One use case in production: agents, approval policies, controls, and decision evidence run together in one real production workflow
  • A repeatable rollout model: measurable results, a risk map, an operating playbook, and a plan for the next agents and teams

Chat approvals

Slack and Teams approvals, tracked in Contro1.

Operators respond where they already work. Policy, routing, and audit stay in Contro1.

  • Instant notifications
  • One-click approve or reject
  • SLA countdown in the message

An AI agent without the right runtime gate isn't autonomous. It's unsupervised.

Read the 12 production guardrails

Best tools

Compare the best AI agent control tools

See how control planes, AgentOps tools, guardrails, and HITL platforms differ before you choose the operating layer and runtime gates for production agents.

Comparisons

Control planes

Compare runtime decision layers for enterprise agent governance.

HITL for agents

Compare runtime approvals, feedback tools, and labeling workflows.

Learn more

Docs and resources

Guides

Agentic AI enterprise

See where agentic AI fits in enterprise workflows, which actions need governance, and how to roll out safely.

Agent Operations Platform

Define the operations layer for approvals, routing, escalation, audit, and signed callbacks across agent workflows.

AI Agent Control Tower

Understand the control tower pattern for seeing, pausing, routing, and auditing autonomous agent actions.

Guardrails

Combine validation, permissions, and runtime control.

Beyond the tooling

A new operating discipline for AI agents.

Teams that adopt Contro1 do not just gain oversight. They build a sharper internal language for what agents can do alone, where humans stay in the loop, and how decisions get owned.

  • Clearer rules for what agents can act on alone
  • Shared definitions of risk across product, security, and ops
  • A repeatable pattern teams reuse for every new agent

FAQ

Before agents go to production

What is Contro1?

Contro1 is the command center for AI agent decisions. It queues risky actions, routes them to the right owner, tracks SLA, and records the outcome.

How is this different from an approval API?

An approval API usually sends a prompt and waits. Contro1 manages the full operational flow: queue, owner, SLA, escalation, callback, and audit trail.

What happens when nobody responds before SLA?

The request can escalate to the next role, manager, or on-call owner based on the rules your team defines.

Can we prove who decided what?

Yes. Contro1 ties agent actions to identity, owner, approval path, decision context, and outcome. When agents send trace data, you can also see the tools they called and the data they used, then export HMAC-signed evidence for proof.

Does this work across different agent frameworks?

Yes. You keep one request model, one control layer, and one audited decision path while teams run different frameworks.

Will this slow every workflow down?

No. Low-risk actions can stay automated and be recorded as audit-only events. Contro1 is for the decisions that already need ownership, review, or audit.

Put your first agent under control.

Start free with 1,000 approval requests per month.

Start free · View docs