AI Operating Map
Methodology

The methodology behind the Map.

The AI Operating Map is a methodology and platform for knowing where AI operates in your business, where it could, and where it should. This page is the whole system on one page: what it asks, what it examines, what it does, and how you work it.

Where is AI operating in your business?

Where could it be operating?

Where should it be operating?

Most leaders can't answer the first one.

The methodology exists so you can answer all three, any day you're asked.

The framework

Six domains

The Map examines your organisation across six domains, the same six segments in the mark: People and Roles, Processes and Workflows, Data and Knowledge, Tools and Agents, Governance Risk and Security, and Outcomes and Value. Every AI tool, agent or workflow in your organisation sits somewhere in these six, whether you've tracked it yet or not.

The AI Operating Map mark: six colour segments, one for each domain below
People & Roles Processes & Workflows Data & Knowledge Tools & Agents Governance, Risk & Security Outcomes & Value

See the six domains in the platform →

The purpose

Three jobs: GEM

The Map exists to do three jobs. We call it GEM: Govern the risk, Enable the teams, Measure the value. Most organisations lean hard on one letter and neglect the other two.

G

Govern the risk

E

Enable the teams

M

Measure the value

Miss one and you've got a shiny register. Hold all three and you can stand behind your answer.

The journey

Frame, Activate, Advance

Wherever you are, you're in one of three phases. You don't graduate from the journey, you cycle it.

1

Frame

Frame what exists: get the current state of AI in your organisation onto the Map.

2

Activate

Activate what should: move the right use cases from idea to approved and live.

3

Advance

Advance what works: measure, refine and grow what's earning its place.

↩ then back to Frame, because you cycle it, you don't graduate from it

Getting started

The four foundations

Built in this order. Each one rests on the one before.

Standing up your first map needs four things. Purpose comes first. SOPs come last, because they hold the detail. Every purchase includes Map Foundations, three live sessions in your first month that walk you through exactly this.

1

Purpose statement

Why you are adopting AI, in a sentence or two, so every later choice can be tested against it.

2

AI Champion

A named internal owner of the AI effort, with a written charter. A role, not a position.

The Champion drives communication and enablement and owns none of the individual items. Every item has one named owner, with no committee.

3

Org chart

Area, position, responsibility and task. AI is attached to tasks, not job titles, so the chart shows where the work changes first.

4

SOPs

The job description for AI. Each procedure says what AI is responsible for, the limits it works within, who checks the result and who answers for it.

I ask every leader three questions: where is AI operating in your business, where could it be, and where should it be? If you can't answer, you need a methodology, and that's the AI Operating Map, which examines your organisation across six domains. It exists to do three jobs, govern the risk, enable the teams, measure the value. There's a platform that runs the whole thing, one payment, and you can start today.

Timothy J. Hitchens, creator of the AI Operating Map.
Own the Loop by Timothy J. Hitchens, shown as a paperback at an angle

“AI is no longer a technology problem. It is a leadership problem.”

Timothy J. HitchensOwn the Loop
In depth

The full methodology: Own the Loop

Delegate the Work. Keep the Responsibility.

A book by the creator of the methodology. It shows how to hand work to AI without handing over responsibility: the four foundations, a Map of where AI operates, where it could and where it should, and what happens to your people as the work moves. The aim is to move people out of thin work and into work that matters more.

Coming soon. More about the book and the launch offer →

Know where AI operates. Know where it could. Know where it should.