Suprbox
Apply access rules and audit trails to AI document requests
Decawork
Evaluate agent actions against company policies and task context
Meet Decawork
Decawork provides a control layer for actions taken by company AI agents. Organizations connect API and MCP traffic, identify the agents responsible for that work, and express policies in ordinary language. A company-specific model evaluates a proposed action using those policies, the current task, and earlier actions in the workflow.
The console brings agent ownership, activity, approvals, and policy settings into one place. Teams can specify when a person must intervene and adjust access as an assignment changes or finishes. This approach is intended for agents built with different tools rather than a single assistant interface. Adoption involves configuring the integrations and reviewing how the decision process applies to the organization's workflows.
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- Website
- decawork.ai
- Status
- Launched
- Category
- Security & privacy
- Listed
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