Decawork

What It Does

Decawork is an AI governance platform that enables companies to deploy autonomous AI agents while maintaining complete control over every action they take. It trains company-specific models that approve or deny AI agent actions in real time, ensuring agents stay aligned with organizational policies, current task context, and past behavior. Unlike blanket permissions, Decawork evaluates each action contextually—the same action can be approved for one task and denied for another based on your policies and the work at hand.

Who It's For

Decawork is built for enterprises and teams deploying AI agents across functions like recruiting, people ops, HR, IT, legal, security, finance, support, sales, engineering, and customer success. It's designed for organizations that want the productivity benefits of autonomous agents without sacrificing oversight, compliance, or security. SOC 2 compliant and backed by Y Combinator, Decawork serves companies that need enterprise-grade governance for their AI operations.

Key Features & Capabilities

• Company-Specific AI Models: Train a model on your organization's policies, written in plain English, that evaluates agent actions in real time
• Contextual Action Approval: Every agent action is assessed based on company policies, the current task, and past actions—dynamic permissions that adjust as agents work
• Agent Registry: Centralized visibility into every agent running across your company, including owner, identity, tools, skills, and activity status
• API and MCP Gateway: Route all agent API requests and Model Context Protocol (MCP) tool calls through Decawork for unified monitoring and control
• Policy Management: Define organizational interests and approval rules in plain English; set when human review is required
• Live Approvals Dashboard: Real-time view of agent decisions, showing what was approved or blocked and why
• Works With Any Agent: Framework-agnostic platform that connects to agents built anywhere, from any vendor or custom-built solution

Typical Workflows

Organizations connect their existing AI agents to Decawork's gateway, define policies for different teams and use cases, and let the company-specific model handle approvals. For example, an onboarding agent might be granted permission to read a new hire's profile for a specific task, then have that access revoked when complete. A contract review agent could be allowed to access legal documents for active reviews but blocked from accessing client data. The system maintains an audit trail of all agent activity and decisions.

What Differentiates It

While most AI governance tools provide static rules or post-hoc monitoring, Decawork offers dynamic, context-aware approvals that happen in real time before actions execute. The platform's ability to train company-specific models on organizational policies—rather than relying on generic rules—means governance scales with your agent deployment. The agent registry provides unprecedented visibility into AI operations across departments, and the framework-agnostic design means it works with any agent architecture or vendor.