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For IT Leaders

CIO · Head of IT · Enterprise Architecture

Built for the stack you already run — and the governance you're accountable for.

You're not evaluating IntakeOS on ROI framing alone — you need to know it plugs into UiPath, Jira, Confluence, Azure DevOps, Copilot Studio, Slack, and Teams cleanly, and that every access path and data flow is something you can defend in a security review.

Explore Agent Bridge Security & Compliance
IT professional working across integrated systems and tools

What IntakeOS does for you.

  • 1Native export into the tools your delivery teams already run, with no re-keying
  • 2Agent Bridge: a governed, audit-logged interface for agentic tools to consume qualified work
  • 3Organization-scoped, revocable API keys — every access path is scoped and logged
  • 48-dimensional deterministic scoring your security and audit teams can actually inspect, not a black box

Have a question? Talk to our sales team before you decide.

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FAQ

What this role asks first.

Short answers to the questions CIO teams raise before taking IntakeOS further.

Does IntakeOS require integration work before we can start?

No. Intake and scoring run standalone, and exports can begin as structured documents. Connecting delivery systems such as Jira, Confluence, SharePoint, or UiPath is an optional next step once IT is satisfied with the data flow.

How does IntakeOS reduce shadow automation?

It gives business teams a sanctioned front door. When every idea has a fast, credible intake path that returns a scored answer, teams have less reason to build unmanaged automations - and IT gets visibility into candidates that would otherwise never surface.

How is access to intake data controlled?

Access is organization-scoped and role-based, with tenant isolation between customers and revocable, scoped API keys for agent connections. Data is encrypted in transit and at rest, and customer process data is not used to train AI models.

Can our architects inspect how a recommendation was reached?

Yes. The scoring path is explicit rules over structured intake data, not a model output, so an architecture or audit review can read the rules, the inputs, and the log of what fired rather than accepting an opaque score.