AI maturity measurement

Before you invest in AI, measure the AI you already have.

AI Assessment shows how artificial intelligence is actually being used inside an organisation: skills, tools, processes, governance, risks and the ability to turn adoption into value. An assessment that adapts to each role produces a reading at individual and organisational level across 12 dimensions, giving you a concrete baseline to start from.

Taking part in an assessment? Your test opens from the link you received — no sign-in needed.

Intermediate readinessMANAGER · MARKETING
Level: Practitioner
Comparable score 3.4 / 5
Governance2.1
People and skills4.2
Data3.6

sample individual report

References

Used by

  • SMEA — Alta Scuola di Management ed Economia Agro-alimentare, Università Cattolica del Sacro Cuore
  • AgriSystem — Scuola di Dottorato per il Sistema Agroalimentare

The problem

AI is already inside organisations.
The hard part is knowing how it is actually being used.

People use AI tools with very different levels of experience, and not always within company processes, tools and policies.

Meanwhile, organisations invest in licences, training and new projects without always having a reliable picture of where they are starting from.

Before you can set a roadmap you need a baseline: adoption, skills, tools, processes, governance and risk.

One-size-fits-all training

Different levels of maturity call for different paths. Without a baseline, training risks being too basic for some people and too advanced for others.

Ungoverned use

Personal tools and unapproved applications can find their way into working processes before policy, security and governance have been defined.

Projects without readiness

A use case may look promising, but people, data, processes and accountability have to be mature enough to carry it.

The model

Twelve dimensions, not a single score

One number does not tell you what to do. AI Assessment breaks maturity down into twelve weighted dimensions: the result is there to guide decisions, not simply to hand out a score.

01

Purpose and strategy

Why AI, and towards which stated goals.

02

Use cases

The ability to identify and prioritise relevant, sustainable applications.

03

Data

Availability, quality and accessibility of what the models need.

04

Technology and tools

Availability, fit and how much the adopted tools are really used.

05

Processes

Whether and how AI enters real working flows.

06

People and skills

The ability to use AI knowingly, critically and appropriately.

07

Governance

Who decides, who authorises, who answers for it.

08

Risk and compliance

Control over privacy, the AI Act and security.

09

Trust and accountability

Transparency about use, and a clear chain of responsibility.

10

Value generated

The ability to identify and measure the effects of adoption.

11

Capacity to change

How well the organisation keeps up with the pace of adoption.

12

Role-specific practice

Maturity in the specific craft of the person answering.

Weights shift between corporate and institutional contexts: where responsibility is public, governance, risk and accountability count for more.

The deliverables

From measurement to decisions

For each person

The individual report

Maturity level, a radar across the 12 dimensions, strengths, areas to reinforce, critical signals and concrete next steps. Anyone who leaves an email gets a private link to come back to it whenever they want, and can download it as a PDF.

For the organisation

The overall picture

How levels are distributed, which dimensions are strong and which are uncovered, groups of people who look alike and should be treated the same way. A document branded with your logo, downloadable as a PDF.

For decision makers

The decisions that follow

What to train on, and in what order. Who can pull the rest of the organisation along. Which risks to cover before scaling. Which use cases stand on a base that can carry them.

The assessment does not make the decisions: it produces the evidence that helps professionals and organisations make them better.

How it works

From scope to a reading of the picture

1

We set the scope

Roles, the population involved, organisational context and the goals of the assessment.

2

We gather the evidence

Each participant completes an assessment that adapts to their role and to the answers they give.

3

We read the picture

Individual results are aggregated into a reading of organisational maturity and of the main areas that need attention.

The method

A transparent, verifiable method

The AI does not assign the score.

01

Adaptive to the role

Eleven profiles, from student to C-level. Role, function and previous answers decide the questions that follow: an engineer and an executive do not get the same questionnaire, and nobody answers questions that do not concern them.

02

Built on observable behaviour

No leading scores, no trick questions. Every option describes an observable behaviour on an anchored scale: from “absent” to “mature and measured”.

03

Deterministic, inspectable scoring

Scoring is deterministic and open to inspection: the same answers always give the same result. AI only comes in afterwards, to write the commentary — never to assign the mark.

04

Data protection and governance

Infrastructure and models in the EU, no training on your answers, a dedicated privacy notice for every campaign, scheduled deletion. Built for the GDPR and the AI Act.

The scale

Four levels, on a scale from 1 to 5

Novice
below 2.0

Occasional or incidental use, still without a method.

Explorer
2.0 – 2.9

You try AI on a few activities, without continuity.

Practitioner
3.0 – 3.9

Regular, knowing use, with some gaps left to close.

Advanced
4.0 and above

Established, governed use, built into your work.

Alongside the level sits a summary band that takes critical signals into account: a high score with a missing safeguard does not become “advanced”.

The levels describe a state of maturity against the assessment model. They are not a certification of the person or of the organisation.

Who it is for

Where it can be applied

Companies

That have to decide where to invest in AI, and in whom, without going on gut feel.

Business schools and universities

That want to measure the AI maturity of students, alumni or faculty at scale.

Consultants and trainers

That use the assessment as an objective starting point for a programme, under their own brand.

How we handle data

What we do with the answers

Data in the EUInfrastructure and models in an European region, no transfer outside the Union.
No trainingAnswers do not train models, neither ours nor anyone else's.
A notice per campaignEvery assessment has its own art. 13 privacy notice, naming the data controller.
Scheduled deletionRetention agreed up front, with anonymisation or deletion when it expires.

Let's talk

We start from the problem, not from the tool.

Tell us about the context, the people involved and the decisions you have to make. We will work out together whether an assessment helps, and how.

We do not pitch a catalogue of solutions: we start from the evidence you need in order to decide.

Prefer to write? info@aiassessment.it

We reply within two working days.