---
title: "AI CoE Simulator"
date: 2025-06-14
description: A diagnostic that replaces optimistic self-assessment with an objective, function-by-function placement of an AI Centre of Excellence.
author: Mario Thomas
canonical: https://mariothomas.com/remake/library/ai-coe-simulator/
---

## What it is {#what-it-is}

Self-assessment flatters: functions report the stage they aspire to, not the one their evidence supports. The simulator replaces the averaged, optimistic self-portrait with an objective placement — function by function, criterion by criterion — so the Board governs the organisation it actually has.

## What it examines {#what-it-examines}

Each business function's real position on the AI Stages of Adoption, assessed against specific criteria across the Five Pillars capability domains rather than subjective judgement. Two modes reflect two realities: uniform progress, where every pillar advances in step, and the multi-speed reality most organisations actually live.

## The readings {#the-readings}

A stage placement for every function — Experimenting through Scaling — assembled into the organisation's multi-speed picture: which functions are ahead, which are badged further along than their evidence supports, and where capability imbalances will block the next transition.

## Running it {#running-it}

Self-serve, in one sitting: choose uniform progress or the multi-speed reality, then place each function against the stage criteria. Run it before an AISA reading with the leadership team so the conversation starts from placements, not impressions — and re-run it when the evidence changes, not on a schedule.

The interactive simulator runs in MyMT, my members' workspace. Explore maturity scenarios, place your functions objectively, and build the roadmap from where you truly are.

The simulator walked through on camera: choosing uniform or multi-speed progress, placing each function against the stage criteria, and reading the result, with the full transcript on the watch page.