Decawork
What is Decawork?
Decawork is an AI agent control plane for IT teams. It helps organizations approve, manage, secure, monitor, and retire employee-built AI agents created with tools such as Claude Code, Codex, ChatGPT, n8n, Microsoft Copilot, LangGraph, CrewAI, and other agent-building platforms. Decawork gives every agent an owner, scoped credentials, approval gates, access policies, and an attributable audit trail.
How to use Decawork?
Teams build AI agents using their preferred tools and submit them to Decawork for approval. IT then registers each agent, assigns an owner, configures access permissions and scoped credentials, establishes approval gates, monitors activity, reviews audit logs, and pauses or retires agents when necessary.
Decawork's Core Features
Centralized inventory of internal AI agents
Scoped access controls, credentials, and approval gates
Complete, attributable audit trails for agent actions
Agent ownership and lifecycle management
Support for agents built with multiple development tools
Monitoring of agent status, reach, skills, and connected tools
Decawork's Use Cases
Approve and manage employee-built AI agents before they access company systems
Control permissions for agents used in marketing, recruiting, HR, IT, legal, finance, and security
Monitor agent activity and identify which agent performed each action
Pause or retire agents that are no longer needed or require review
Maintain a centralized registry of AI agents across an organization
FAQ from Decawork
What is Decawork?
Can Decawork manage agents built with different tools?
What access controls does Decawork provide?
Can Decawork show what an AI agent has done?
Does Decawork support agent retirement or pausing?
How can I evaluate Decawork?
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