Controlled AI Workflow Diagnostic

Know whether one AI workflow is ready for a controlled pilot.

For technical teams evaluating AI-assisted document and plan workflows: map value, failure cases, permissions, human approvals, and recovery before committing to production integration.

Human-reviewed, fixed scope, and no obligation to continue into a pilot.

Boundary
One document or plan workflow
Elapsed time
10 business days
Input
Approximately 5–10 sanitized examples
Decision
Stop, refine, or define a controlled pilot

01 / Control before integration

The model can improvise. The workflow should not.

Evaluation covers the complete path from an incoming document to a reviewed decision—not the model in isolation. The diagnostic identifies what the model may propose, which checks must remain deterministic, and where a named person must approve or stop the process.

Controlled workflow / reference pathInterpretation stays separate from authority.
  1. Input

    Validated intake

    Representative, sanitized documents and a defined operating boundary.

  2. Model

    Interpret and propose

    Extraction, classification, uncertainty, and draft outputs.

  3. Deterministic

    Enforce controls

    Permissions, validation, states, retries, logs, and recovery paths.

  4. Human

    Approve or stop

    A named owner reviews consequential outputs before anything moves forward.

Failure path: stop, log the reason, route for review, and recover without hiding the exception.

02 / Diagnostic method

From a promising workflow to a defensible decision.

The engagement maps the real operating context, examines representative cases, and defines the smallest controlled next step worth considering.

  1. 01

    Map

    Define the operating boundary

    Document the owner, baseline, inputs, outputs, exceptions, systems, and consequential actions for one workflow.

  2. 02

    Stress-test

    Make failure observable

    Examine representative cases, known-bad inputs, uncertainty, permission denial, human escalation, and recovery paths.

  3. 03

    Decide

    Specify the next controlled step

    Produce a go/no-go recommendation and, only when justified, the acceptance criteria and controls for a separately scoped pilot.

Bounded inputs

Enough context to test one decision.

Up to three stakeholder interviews, up to three data or document categories, and approximately 5–10 sanitized examples supplied or validated by your team.

Decision pack

  • Bounded workflow map
  • Evaluation summary
  • Permission matrix
  • Observable failure register
  • Go/no-go recommendation
  • Controlled pilot specification when justified

03 / Fit and boundaries

Start with the workflow, not “an agent for everything.”

The diagnostic is designed to reduce uncertainty before a production build. It does not grant an AI system broad operational authority.

Good fit

  • A named workflow owner and a measurable manual baseline
  • Representative documents, plans, or cases that can be sanitized
  • Outputs that a person can review before consequential action

Outside this engagement

  • Open-ended autonomous-employee requests
  • Professional, legal, regulatory, or compliance sign-off
  • Production deployment or unrestricted production access

04 / Related delivery evidence

The method is grounded in document and plan workflows.

These portfolio case studies show the technical context behind the diagnostic. Each project page preserves its own scope, constraints, and reported outcomes.

05 / Detailed assessment

Tell me about one workflow.

Share only non-confidential business context. No documents, production credentials, or sensitive architecture are required.

What happens next

Your request is saved for human review. A booking link appears only after the intake endpoint confirms persistence.

For a different type of project, use the general portfolio contact form.

Assessment / required fields

Share business context only. Do not include documents, credentials, personal data about third parties, or confidential and sensitive information.

What happens today, and what should the AI-assisted step produce? Maximum 1,500 characters.
For example: plans, specifications, reports, or tender documents. Maximum 500 characters.
How is the work completed or measured today? Maximum 1,000 characters.