Specify and test what your AI workflow may do.

We help teams implement workflows that use restricted information. Together, we identify permitted sources, processing destinations, and actions, then test those permissions and the records needed to investigate a run.

A permitted request passes an open gate. An unapproved request meets a closed gate and returns.Permission checks

A workflow’s allowed actions and prohibited routes belong in its test cases.

Illustrative workflow using synthetic data

The decisions behind a private workflow

Data

Approved sources, permitted fields, user access, storage destinations, and retention requirements.

Execution

Model endpoints, tool permissions, network routes, task duration, and administrative access.

Authority

Who can request work, approve exceptions, release an output, change configuration, or stop execution.

Start with a draft that someone can check

A document summary, knowledge answer, or operations draft can test the approach before system writes are allowed. Retain the agreed source references, model route, actions, and reviewer decision so an operator can investigate the result later.

  • Start with synthetic or approved redacted examples.
  • Configure narrow read access before considering system writes.
  • Test denied sources, blocked exports, and approval requirements.
  • Check that logs and execution records follow the agreed access and retention rules.

Document limitations and the response to failures

Deliverables include the workflow and control maps, configured pilot, test results, known limitations, and operating notes. Local hosting and sandboxing do not eliminate model errors, prompt injection, or administrative risks. Your team needs an owner and a response when the workflow behaves unexpectedly.

Have a workflow in mind?

Tell us what it involves and which systems it uses.

Request an AI setup review