Agents are in production. Guardrails are not. Coco enforces behavioural contracts at the
point of action - before a bad agent action executes, not after the damage.
The Problem
Enterprises have deployed AI agents to cut costs and move fast. The problem: those agents are now authorised to act - and there is nothing stopping a bad action from causing real damage.
Fines, remediation, legal costs, and reputational damage. All from a single agent action that no one stopped.
They find out something went wrong from a customer complaint, an audit flag, or a regulator. By then, it's too late.
Monitoring tools catch what already happened. Coco stops what's about to happen.
The Solution
Coco sits between your AI agents and the real world. Every action - every transfer initiated, every record accessed, every message sent - is checked against your rules before it executes.
Our SDK installs directly into your agent stack. One import. From that moment, every action is intercepted, checked, and either approved, blocked, or routed for human sign-off - in under 2ms.
The Control Plane is where your risk, compliance, and engineering teams define the rules, monitor agent behaviour, and review escalations - all in one place. Finally, a board-level view of your AI risk.
How It Works
Your risk and compliance team sets the rules in the Control Plane - what agents can do, what they cannot, and what requires human approval. No engineering required.
E.g. "Block any transfer above $50,000. Escalate anything to an unapproved counterparty."
Your engineering team installs the Coco SDK into the agent stack. One import. Takes minutes. From that point, every action is covered - with no changes to how agents are built.
Works with any agent framework. Python and TypeScript supported.
The moment an agent attempts an action, Coco evaluates it against your rules before anything happens. The action is either approved, blocked, or sent for human sign-off.
Every decision is logged. Every incident is reviewable. Every audit is ready.
Built For
Coco is not a developer tool. It is an enterprise governance platform for leaders who are accountable for what their AI agents do.
Head of AI / CTO
You've shipped agents to production. Now you need to prove to your board that those agents are operating within sanctioned limits. Coco gives you that proof.
Chief Risk & Compliance Officer
Your regulators want to know what your AI agents did, when, and why. Coco produces a complete, immutable audit trail - ready for examination on day one.
AI Engineering Lead
You need to ship fast without creating liability for your company. Coco's SDK integrates in minutes, so governance is covered from the moment you go live - not in a future sprint.
Financial Services
Risk: Unauthorised transfers, AML/KYC breach, unapproved counterparty payments
Healthcare
Risk: Unauthorised PHI access, off-protocol clinical actions, HIPAA exposure
Insurance
Risk: Out-of-guideline underwriting, unauthorised claims payouts, pricing violations
The Platform
The SDK Runtime sits inside your agent stack. Every time an agent prepares to take an action - move money, write data, send a message - Coco intercepts it, checks it against your policies, and issues a verdict in milliseconds.
The Control Plane is where your risk, compliance, and engineering teams come together. Set policies, monitor agent health in real time, review escalations, and pull audit reports - without touching a line of code.
Limited Early Access - Fintech
We're working with a small group of fintech leaders to deploy Coco in production. Apply now - we respond to every application personally within two business days.
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Governance Infrastructure for AI Agents
Engineering teams define what each agent is allowed to do and what not. Coco stores these as versioned behavioural contracts.
Before any agent action runs, Coco validates it against the behavioural contract. If the context is wrong, the action is blocked.
A centralised control plane gives your team full visibility into what every AI agent did across every integration.