AI Governance Audit — Illustrative Scenario

What an engagement
actually looks like.

A realistic walkthrough of an AI Governance Audit, end to end — built from typical patterns observed in professional services firms.

Illustrative scenario. Not a real client engagement. Used to make the audit concrete.

Notice

This page describes an illustrative scenario. No real client, firm or individual is referenced. The structure mirrors a typical engagement and is intended to make the audit tangible.

A professional services firm with quiet, distributed AI usage.

A mid-sized professional services firm — roughly 80 employees across two offices — uses ChatGPT, Microsoft Copilot and AI-assisted content creation tools daily.

There is no formal AI policy. Adoption is driven by individuals. Leadership is broadly aware that AI is being used, but does not have a verified operational view of where, how or by whom.

Structured exchanges across operations, delivery and leadership.

The audit begins with the AI Governance Intake, followed by structured exchanges with seven contributors across operations, client delivery, marketing and leadership.

Existing documentation is reviewed: onboarding materials, internal wikis, tool inventories, IT policies. Practical workflows are mapped against the documented frame.

What the audit surfaces.

The audit produces a clear operational reading.

Twelve distinct AI tools are in active use, only four of which are formally sanctioned.
Approval paths for AI-assisted client deliverables are inconsistent and partner-dependent.
Client data is occasionally pasted into consumer AI tools without a shared rule for what is acceptable.
AI-generated content is reviewed by humans in most cases — but the review depth varies widely.
No record exists of important AI-related decisions or the reasoning behind them.

Prioritized actions framed in operational language.

Recommendations are sized to the firm and sequenced for the next operational quarter.

Establish a single shared rule for client data and AI tools, communicated firm-wide.
Define a lightweight approval path for AI-assisted client deliverables, owned by partners.
Consolidate the active tool inventory and retire shadow tools without operational justification.
Introduce a short review standard for AI-generated content tied to risk level.
Begin a simple log of material AI-related decisions to anchor future governance work.

From quiet usage to a verified governance posture.

Within a single operational quarter, leadership moves from assumptions to a verified view of AI usage. Responsibilities become explicit. Risk zones become visible. The firm gains the operational ground required to make later governance and decision-system choices with confidence.

The audit is not the end of governance work — it is the moment governance becomes possible.

Start your own assessment.

The AI Governance Intake is the structured first step — a conversational assessment that produces a meaningful first reading of your organization's AI usage.

Start AI Governance Intake