Snapshot
Continue to About ↓- What it does
- Decawork is an agent control plane that routes AI agents' API and MCP traffic through a gateway, where a company-specific model approves, blocks or holds each proposed action in real time based on written company policies, the agent's current task and its past actions.
More detail
- Access is scoped to the task and revoked when it ends, and every agent gets its own identity with an attributable audit trail.
- Best for
- IT and security teams at companies running many internal AI agents across departments that need runtime approval, task-scoped access and an audit trail without rebuilding those agents.
- Pricing
- Decawork does not publish pricing on its site; the only documented next step is booking a demo.
More detail
- How the company charges (subscription, usage, seats or otherwise), any minimums, and contract or cancellation terms are not disclosed in the reviewed sources, so treat cost as unknown and confirm it direc
- Main limitation
- Individuals, solo developers or teams without an IT/security function, and buyers who want an agent-building platform rather than a governance layer over agents built elsewhere.
- Record
- Living and monitored
- Reviewed
- Evidence
- Public web research
- Machine access
- Structured profile ↗
About
- Decawork is an agent control plane that routes AI agents' API and MCP traffic through a gateway, where a company-specific model approves, blocks or holds each proposed action in real time based on written company policies, the agent's current task and its past actions.
- Access is scoped to the task and revoked when it ends, and every agent gets its own identity with an attributable audit trail.
What it helps with
- AI agents hold standing, broad credentials that stay valid even when they are no longer appropriate for the task at hand
- Fixed rules cannot encode every business judgment, and manually approving every agent step does not scale.
- Agents go live with real-system access without a standard shipping path, leaving IT either blocking them or rebuilding t
- Agent activity is hard to attribute because agents borrow people's logins instead of having their own identity.
Capabilities
A practical view of what is available and where limitations apply.
| Offering | Available | Detail |
|---|---|---|
| Company-specific approval model | Yes | Small models trained per company to evaluate each proposed action in real time using policies, current task and past actions. |
| Gateway enforcement of API and MCP traffic | Yes | Requests are routed through Decawork and the decision is enforced before the underlying tool is called; credentials stay behind the gateway. |
| Per-agent identity | Yes | Each agent has its own identity so actions are attributed without borrowing a person's login. |
| Allow, block or hold for human review | Yes | Policy decides which of the three outcomes applies to a proposed action. |
| Task-scoped access with revocation | Yes | Access is reassessed as the agent works and revoked when the task completes. |
| Plain-English policies | Yes | Companies define what agents may do and when a person must approve, in plain English. |
| Agent registry and audit trail | Yes | Registry shows each agent's team, tools, status and last activity; decisions are recorded with task, policy context and any human approval. |
| Lifecycle monitoring and pausing | Yes | Failed runs such as expired credentials or broken integrations are recorded and the agent can be paused with IT alerted. |
| SOC 2 report | Yes | SOC 2 examination completed July 20, 2026 covering Security, Availability and Confidentiality; report available to customers and qualified prospects under confidentiality terms. |
| Published pricing and self-serve signup | No | No pricing, plan tiers or self-serve onboarding are documented; access is via a booked demo. |
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Evidence
Where this record came from, when it was reviewed, and how confidently it can be used.
- Verification
- Scribble researched these facts from the linked public sources.
- The owner has not manually confirmed every field.
- Last reviewed
- Primary source
- decawork.ai
Technical profile details
Record ID
a122e481-3250-4a8e-a375-e22fecf56dc3Canonical URLhttps://profiles.scribble.network/listing/decawork-a122e481