Quickstart: add approvals to an AI agent in minutes
Create your first Contro1 request, route it to the right operator, and return a signed callback to your agent.
Docs hub
Build production-ready approval flows with role routing, SLA escalation, signed callbacks, policy context, and audit evidence.
Create your first Contro1 request, route it to the right operator, and return a signed callback to your agent.
A practical walkthrough of the Contro1 runtime API: which endpoint an agent calls, when to call it, what to send, and how approvals, audit records, traces, and evidence fit together.
A compact map of the public Contro1 runtime API: request creation, Control Map preview, audit records, and thread timelines.
Give every agent a verified identity, scope its authority (least agency), reconstruct any run end-to-end (tools, sub-agents, retrieved context), and export HMAC-signed evidence.
Learn how to create, inspect, and cancel Contro1 requests for approvals, clarifications, and escalations.
Use Contro1 audit records to log actions that agents are authorized to run autonomously, and correlation_id to connect requests and logs into one case timeline.
Validate signed Contro1 callbacks and safely resume AI workflows after approvals, rejections, expirations, or escalations.
Secure your Contro1 integrations with environment-based API keys, role-aware routing, and clear ownership boundaries.
Install and use the contro1 CLI to register AI agents, create approval requests, push AI inventory, retrieve evidence and traces, and test workflows before using the SDK or API.
Give Block Buzz agents human approvals, role-based routing, safe retries, and a complete audit trail before high-impact actions run.
Govern AWS Lambda MicroVM launches, endpoint tokens, shell access, and lifecycle controls with Contro1 approvals, audit evidence, and bypass detection.
Give your OpenClaw personal AI assistant a real, unbypassable guardrail: signed human approval for sensitive actions, a durable audit of everything it does autonomously, and one review queue across many assistants.
Install and use the framework-agnostic Contro1 Python SDK to request human approvals or input, verify signed webhooks, log autonomous actions, and fetch audit evidence.
Install and use @contro1/sdk in Node, TypeScript, Express, Fastify, or Next.js backends to create approval requests, verify webhooks, and write audit records.
Use Microsoft Agent Governance Toolkit for policy decisions and Contro1 for human approval routing, signed callbacks, and audit evidence.
Connect Microsoft Teams to Contro1 and receive AI agent approval requests directly inside Teams.
Pause LangGraph execution at deterministic checkpoints, route review through CENTCOM, and resume with signed decisions.
Map OpenAI Agents SDK interruptions to Contro1 requests so humans can approve high-risk actions before execution continues.
Bridge CrewAI review events into Contro1 for routing, approvals, and auditability.
Use HTTP Request and Wait nodes in n8n to pause workflows, route approvals through Contro1, and branch on the result.
Route selected Codex shell actions to an accountable reviewer before they run, and use the same Contro1 workflow when Codex needs input from a person.
Route selected Claude Code actions to a manager or other eligible reviewer before they run, with production deployment as a practical quickstart example.
Route Claude Managed Agents session actions into Contro1 with session correlation, idempotent approval requests, signed callbacks, and audit-ready logs.
Add Contro1 approval gates to Mastra agents and workflows so risky tool calls, workflow steps, and production actions wait for signed human decisions.
Add Contro1 approval gates, Control Map routing previews, signed callbacks, and full autonomous tool-call logging to Strands Agents running on Bedrock, AgentCore, or custom infrastructure.
Connect Pydantic AI deferred tools and approval-required tool calls to Contro1 decisions, signed callbacks, and audit evidence.
Contro1 helps AI agents request human approval, follow organizational policies, track ownership, maintain agent inventory, and create audit-ready evidence before sensitive actions.
Map every AI tool, model, copilot, and agent in your organization. Assign owners, track risks, manage tasks, and keep a live AI inventory with Contro1.
A clear agentic AI definition for enterprise teams, with examples, risk patterns, and the governance controls needed when AI systems can take action.
How enterprise teams can adopt agentic AI safely: use cases by department, governance requirements, approval workflows, observability, and runtime control.
What an agent operations platform is, why enterprises need one, and how approvals, routing, escalation, audit, and signed callbacks turn AI agents into accountable operations.
A practical guide to AI agent operations: ownership, policies, approval points, escalation paths, logging, metrics, and operating reviews.
What an AI agent control tower is, what it must include, and how teams use it to control autonomous agents with an AI control plane: granular approval workflows, agent inventory, traces, escalation, and audit evidence.
A human-in-the-loop AI platform is more than an approve button. Learn the workflows, routing, escalation, audit, and callback patterns production agents need.