Free tool

Is your organisation ready for AI-driven change?

Answer ten questions and get a practical snapshot of where AI adoption is likely to create pressure across work design, team structure, cost, capacity, governance, and change execution.

Snapshot output

Readiness stage

A clear view of whether the work is exploratory, tool-led, scenario-ready, or execution-ready.

Pressure points

The org design issues most likely to block AI value.

First scenario

The first model worth building in Orgonaut or with a client.

Why it matters

AI readiness is an operating model question

Many AI programmes begin with tools, pilots, and productivity claims. The harder question is structural: which work changes, which teams are affected, what happens to cost and capacity, and how decisions move from recommendation to execution.

The AI Org Readiness Mapper is a lightweight diagnostic for leaders and consultants. It helps identify whether the next useful move is current-state capture, work redesign, scenario comparison, or implementation planning.

AI Org Readiness Mapper

Build your snapshot

Question 1 of 10

From snapshot to model

Use the result as the first workshop brief

The snapshot is not the answer. It is the starting point for a modelled conversation about the organisation.

For consultants

Use the result to frame an AI operating model, AI SDLC, restructuring, or org efficiency engagement with a concrete first scenario.

For company leaders

Use the result to align HR, finance, technology, and operations leaders around the org changes that need modelling.

For Orgonaut

Turn the snapshot into Live View, scenarios, deltas, assumptions, and an implementation path that humans can review.