AI Governance Advisory

Before AI acts, know where meaning can break.

AI is moving from answering questions to affecting business action. Start with one workflow. Explore the path from AI output to business action and consider where ownership, traceability and human review need attention.

One workflow at a timeHuman review and ownershipClear findings and next stepsScope and fee agreed first.

The AI Pathway

AI Output→
Human Interpretation→
Decision→
Tool / Workflow→
Business Action→
Consequence

A review examines the stages in scope using the information and evidence you provide.

Start with one workflow

Single-Workflow Pathway Review

A focused review of how AI-generated material moves into a client deliverable, decision or action. Start with an enquiry; the workflow, evidence, deliverables, fee and schedule are agreed before paid work begins.

Map the pathway

Describe the selected workflow from source material and AI output through human review to the resulting action. Identify who owns each step.

Examine the controls

Review the information and evidence supplied for the agreed scope. Distinguish observed controls, reported practices and unanswered questions.

Agree practical next steps

A scoped engagement can include a pathway map, a findings note and prioritized control improvements. The written proposal confirms exactly what is included.

Describe your workflow →

Submitting an enquiry does not book a meeting, accept a fee or create a paid engagement.

What we look at

Follow the output into action.

AI risks can arise in the model and in the surrounding workflow. This review focuses on the handoffs, decisions and controls between an output and its use.

Sources and interpretation

What information shaped the output? Can the reviewer inspect its sources, assumptions and limitations?

Review and ownership

Who checks the output, which decisions require approval, and what happens when someone is unsure?

Action and recovery

What can the system change? What record is kept, and how can a mistake be detected, escalated or corrected?

Possible follow-on work

Build on what the review shows.

Further work is scoped separately according to the findings and available delivery capacity. These are discussion areas, not pre-booked packages.

Control design

Discuss human approval points, ownership, escalation and limits on an AI system’s actions.

Traceability and reporting

Discuss useful records of sources, review decisions and workflow changes, plus clear reporting for the people responsible.

Implementation support

Discuss a bounded improvement to one workflow. Technical access, responsibilities and acceptance checks are agreed before work starts.

Who this is for

Teams putting AI into real work.

A practical starting point for professional-services firms, operations teams and AI product teams where generated material influences client work or business action.

Partners and operations leads

You want to understand how AI-assisted work is checked before it reaches a client.

Product and engineering teams

You are connecting AI to tools or systems and want clearer approval boundaries and recovery steps.

Risk and governance owners

You need to distinguish documented controls from assumptions and decide which gaps to examine first.

Available tools

Start with a self-check.

Use the six-question controls self-check below, or open the diagnostic intake to describe your situation in more detail. Neither is a verified assessment of your organization.

Free Tool

Workflow Controls Self-Check

Six questions about the controls you report having. This is a starting point for discussion, not a verified risk assessment.

Pathway Visibility

Can you trace each AI output to the decision or action it informed?

Human Validation Design

Is human review of AI output documented, consistent, and auditable?

Traceability & Provenance

Are AI outputs attributed to their source, model version, and context?

Escalation & Ownership

Is there a named owner for AI-assisted decisions in high-risk workflows?

Agentic Control Gates

For AI that takes actions, are human intervention points structurally designed?

Audit Readiness

Could you demonstrate AI pathway controls to a regulator or auditor today?

Common questions

What to expect.

A clear scope comes before a commercial commitment.

What does the free score tell me?

It summarizes six self-reported ratings. It does not test your controls, certify compliance or predict incidents. The longer intake uses a separate engagement-qualification score.

How much does a review cost?

The fee and schedule depend on the agreed workflow, evidence and deliverables. Request a scope discussion; there is no payment or booking step on this site.

Is this a compliance audit?

No. This is a workflow review and advisory intake. Any formal assurance, certification or legal assessment requires a separately scoped engagement with appropriately qualified professionals.

What should I share?

Start with a high-level description and your business contact details. Do not submit client records, credentials or sensitive documents. Any further access or confidentiality arrangements must be agreed first.

What happens to my enquiry?

When you select Send enquiry in the full intake, the site attempts to save your answers and shows a reference only after confirming storage. A saved enquiry is available for review; it does not send you an email or schedule a call.

Will I receive an emailed scorecard?

No. The free self-check shows its result in your browser. You do not need to provide an email address to see it.

Next step

Tell us about one workflow.

Describe where AI is used and what you would like to improve. We can then discuss whether a focused review is appropriate and agree the scope before any paid work.

Email opens your mail app. It does not submit the website intake or guarantee a response time.