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Enterprise Layer Intelligence
Categories/AI Orchestration & MLOps/Decawork
Decawork

Decawork

Founded 2024

Approve or block autonomous agent actions in real time using custom company policies

Pricing model

Demo

Rating

★ People love it

Time to value

Requires Expertise

You can use Decawork to supervise and govern autonomous software agents across your organization. It connects to your agent traffic, including API requests and Model Context Protocol tool calls, and routes them through a custom model trained on your company policies. The system evaluates every action an agent attempts against the specific task context and historical activity before deciding to allow or block it. You can define access rules in plain English, keep track of agent ownership in a central registry, and trigger human reviews.

What Decawork does

Route agent API requests through an inspection gatewayDefine agent policy rules using plain language instructionsMonitor active tools and skills across all deployed agentsReview and approve high-risk automated actions manuallyRevoke agent permissions immediately after a task finishesRegister internal AI agents to assign departmental ownersReal-time evaluation of AI agent actions against corporate policiesCentralized agent registry tracking ownership, status, and active toolsDynamic policy definition written in plain EnglishContext-aware permissions that grant temporary access per taskModel Context Protocol tool call routing and API traffic monitoringAutomated escalation triggers for human intervention

Pricing breakdown

Pricing model: Book a demo

Tutorials & Demos

Frequently asked

Model Context Protocol, REST API, LinkedIn

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Decawork, AI agents, agent governance, Model Context Protocol, MCP, agent monitoring, API gateway, real-time approval, enterprise AI, access control, agent security, policy enforcement, autonomous agents, agent registry