People
Skills, habits and how much the team trusts and uses AI
- How the team uses AI today, and how confident they are
- Which skills are missing, per role
- Who could become a champion
measure before you train
AI maturity audit. Know where you stand.
Before you train anyone, know where you stand. The audit looks at your people, your technical setup, your data and your security and rules, and ends in a written report: a maturity score per area, the risks, and a plan for who needs which training and what to fix first.
What the audit looks at
Technical setup
Which tools are in use, and how well they connect
- Which AI tools are in use, official and unofficial
- How well your systems connect
- Where AI would save the most time
Data
Where information lives, and whether AI can use it safely
- Where your information lives, and its quality
- What may and may not go into AI tools
- What AI could safely use
Security and rules
Agreements on what may go into AI, and the EU AI Act
- Agreements and policies on AI use
- Risks around customer and personal data
- Where you stand on AI literacy under the EU AI Act
How it runs
Scoping call
20 minutes to agree what we look at and who takes part. You get a fixed price.
Survey and interviews
A short survey for the whole team, and interviews with the people who know the work and the systems.
Written report
A maturity score per area, the main risks, and a training and action plan in order of priority.
Walkthrough
We go through the report together, so you know what to do first, and what can wait.
What you get
- A maturity score for people, technical setup, data and security
- The risks, in plain language, with what to do about each
- A training plan: who needs what, and in which order
- A report you keep and can share with your management
FAQ
About the audit
The check is a few minutes of your own answers and gives a first score. The audit is a person looking at your organisation: a survey for the team, interviews and a written report you can act on.