Agents central command
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
Decision flow
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.
Inventory & oversight
Discover, verify, and monitor every AI agent acting on behalf of your organization. Auto-discovered, ready for EU AI Act and NIST reviews.
Activity investigation
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.
Built for compliance: SOC 2, GDPR, HIPAA, ISO 27001, NIST AI RMF, and EU AI Act.
Shifts
Always route agent decisions to whoever is responsible, 24/7.
Microsoft AGT · Microsoft Teams · Lambda MicroVMs · LangGraph · OpenAI Agents SDK · Claude Code · Claude Managed Agents · CrewAI · n8n · Slack · Pydantic AI · Mastra
AI Control Plane
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.
Pricing
Map your AI systems, register agents, route risky actions for approval, and keep traceable evidence from day one. Start free with 3 operators and 1,000 approval requests per month.
Full access for teams putting their first agents under control.
Secure Agent Operations at Scale.
For organization-wide governance across teams, regions, and agent stacks.
Chat approvals
Operators respond where they already work. Policy, routing, and audit stay in Contro1.
Best tools
See how control planes, AgentOps tools, guardrails, and HITL platforms differ before you choose the operating layer and runtime gates for production agents.
Compare runtime decision layers for enterprise agent governance.
Separate observability, evals, and runtime control.
Compare runtime approvals, feedback tools, and labeling workflows.
Learn more
See where agentic AI fits in enterprise workflows, which actions need governance, and how to roll out safely.
Define the operations layer for approvals, routing, escalation, audit, and signed callbacks across agent workflows.
Understand the control tower pattern for seeing, pausing, routing, and auditing autonomous agent actions.
Introduce agents safely with inventory, policy, human oversight, and audit from day one.
Combine validation, permissions, and runtime control.
Design approvals, rejections, and escalations that survive real operational pressure.
Beyond the tooling
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.
FAQ
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.
An approval API usually sends a prompt and waits. Contro1 manages the full operational flow: queue, owner, SLA, escalation, callback, and audit trail.
The request can escalate to the next role, manager, or on-call owner based on the rules your team defines.
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.
Yes. You keep one request model, one control layer, and one audited decision path while teams run different frameworks.
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.
Start free with 1,000 approval requests per month.
