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AI governance

Autonomy with a clear line of control.

Make AI-assisted decisions reviewable and business actions accountable with controls embedded directly into the workflow.

Make AI-assisted decisions reviewable and business actions accountable with controls embedded directly into the workflow.

Last updated: 2026-09-21

The opportunity

Build around the work.
Not just the technology.

Reviewing an answer after a tool has acted can be too late. Governance works best when access, evidence, and approval are checked at the action boundary.

  • Action policies
  • Reviewer workspace
  • Evidence records
  • Intervention controls
Invoice workflowIllustrative
Receive documentConnected
Extract & validateConnected
Human reviewApproval gate
Update systemConnected
Your tools. One connected process.
Designed for the complete workflow

The capability is in the details.

01

Policy checks

Validate proposed actions against business rules and permitted tool operations.

02

Review by exception

Route conflicting evidence, missing context, and low-confidence outputs for human review.

03

Evidence panels

Show source records, validation results, and the action proposed for the reviewer.

04

Stop and recover

Provide interruption, correction, and recovery paths appropriate to the workflow.

How it comes together

A connected path from input to outcome.

01

Gather task evidence

02

Check policy and permission

03

Request review when needed

04

Act and record the outcome

Before we begin

Useful details.
Clear expectations.

Can this work with an existing agent?+

Yes. We can assess the current tool boundaries and add controls around actions, records, and human review.

What happens after deployment?+

We agree the operating model with you: managed support, internal handover, or a combination with clear responsibilities.

A conversation is a good place to start

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