Decawork

What is Decawork?

Decawork gives IT teams one place to deploy, govern and maintain the AI agents running across their company. Every company is building AI agents internally now - it started with experiments, and now every team wants their own. What follows is agent sprawl: deployment gets messy, agents go live with access to real systems and real data, and maintenance falls in the gap. IT can't see any of it, so it does the only two things it can: first ignore, then block. Ignoring piles up risk; blocking kills the productivity people just found. With Decawork, every agent ships one standard way: its own identity and scoped credentials, with IT's sign-off before it goes live. After that, every run is watched - IT is alerted the moment something fails, agents nobody uses get retired. And the whole time, IT sees every agent, controls what it can touch, and audits every action, with approvals gating anything sensitive. Every big shift - cloud, SaaS, the digital workspace - ended with IT running it. AI agents are the next one. Decawork is what IT will run them with.

From the website

Company-specific models for AI agents

Decawork trains small, company-specific models to approve AI actions in real time, using company policies, task context, and past actions.