Evaluate your Organisational AI Maturity

An AI Maturity Assessment is a formal process designed to determine the sophistication and depth of your current artificial intelligence capabilities.

Best For: Organisations that have moved beyond the initial awareness stage and are actively experimenting with pilots or early-stage applications. It serves as the bridge between isolated projects and a sustainable business function.

This assessment is structured according to the seven pillars of the Gartner AI Maturity Model:

1. Strategy

2. Value

3. Organisation

4. People

5. Governance

6. Engineering

7. Data

How will this help? By examining each of these areas, you can move away from ad hoc implementation and toward a structured framework that supports long-term growth.

Undertaking this assessment sets your organisation up for optimal investment in the future, identifying specific gaps where lack of progress in one area (such as Governance) may be stalling in another (Engineering), clarity that ensures resources are directed toward the most critical priorities.

Consultant’s Tip: Once you receive your results, do not focus solely on your highest scores. Instead, prioritise the pillars where your maturity is lowest.

Aiming for balance across all seven pillars is the most effective way to ensure your AI initiatives are both ethically responsible and internally viable.