Self-assessment preview

Understand your organisation’s AI transformation capability

Identify relative strengths, areas for investigation and practical next steps across ten capability areas.

Answer for the organisation or business unit you know best, based on current practice. Use the same scope throughout.

Your preliminary profile appears immediately after completion. You can then request a detailed report by email.

How to rate your capability
1 — Ad hoc
Practice depends mainly on individual effort.
2 — Emerging
Some teams use a repeatable approach.
3 — Defined
A documented approach and responsibilities exist.
4 — Consistently applied
The approach is routinely used across the assessed scope.
5 — Measured and improved
Evidence is regularly used to evaluate and improve the approach.
0 of 10 answered

1. Direction and accountability

How clearly does the organisation connect AI ambitions to outcomes and ownership?

Strategy & Value

How consistently are AI initiatives linked to defined business outcomes?

Consider whether initiatives have an expected benefit, a baseline and an accountable benefit owner.
Leadership & Operating Model

How consistently are decision rights and accountability for AI initiatives applied?

Consider who approves investment, owns delivery and resolves issues.

2. Business and information foundations

How well are business processes and information prepared for AI-enabled change?

Business Capabilities & Processes

How consistently are business processes assessed and redesigned when introducing AI?

Consider changes to work, hand-offs and responsibilities between people and AI.
Information, Knowledge & Data

How consistently is information checked for fitness for its intended AI use?

Consider quality, meaning, ownership and permitted use.

3. Architecture and delivery

How reliably can the organisation integrate and operate AI solutions?

Enterprise & AI Architecture

How consistently does a defined architecture guide AI solution decisions?

Consider integration, information flows, dependencies and technology choices.
AI Engineering & Delivery

How consistently does AI delivery follow a controlled, repeatable lifecycle?

Consider evaluation before release, operational monitoring and recovery arrangements.

4. Governance and people

How effectively are risks managed and people prepared?

Governance, Risk & Trust

How consistently are AI risk controls applied and checked?

Consider privacy, security, human oversight and evidence that controls work.
People, Skills & Culture

How consistently are people prepared for their responsibilities in AI-enabled work?

Consider role-specific learning, practical support and demonstrated capability.

5. Change and outcomes

How effectively does the organisation sustain adoption and learn from results?

Transformation & Change

How consistently is organisational adoption managed throughout AI implementation?

Consider stakeholder involvement, changes to working practices and ongoing support.
Measurement & Continuous Evolution

How consistently are measured AI outcomes used to guide improvements?

Consider comparison against intended benefits, review decisions and follow-through.

Answer all ten questions to generate your profile. This self-check provides directional guidance, not an independent evaluation.

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