AI and Technology Governance

AI Governance Diagnostic

Where an AI governance program begins. We establish where AI sits in your business, what risk it carries, and what to address first.

01 Why this comes first

Governance begins with an accurate account of what is already running.

AI use has spread quickly across organizations, and it continues to spread. Governing it well starts with an accurate account of where it stands today: what is in use, what it does, and what risk it carries.

That account is what a roadmap is built on. Without it, a governance program addresses the AI that was assumed to be there rather than the AI that is running.

02 What the diagnostic establishes

Three things you can act on.

i

Where AI sits in the business

Which processes, decisions, and outcomes depend on AI, and which systems produce them.

ii

Where accountability and exposure sit

Who controls those systems, and what risk they carry: to the business, to customers, and to the obligations your organization holds under privacy law, under the AI regulation that applies to it, and under contract.

iii

What stands between the risk and the business

Which controls are in place today, and what should be addressed first.

03 What you receive

One report.

An actionable roadmap to govern AI better.

The report sets out where AI is in use, the risks that matter, and a prioritized roadmap to govern AI and reduce those risks. It is written to be acted on, and to be presented to executives and the board.

We deliver this work quickly. How long it takes depends on the size of the organization and the scope of its AI use.

04 Next

Begin a conversation.

We work with organizations at every stage of AI adoption, from the first pilot to an established program.

Start a conversation