AI check

Where does your company stand with AI?

Seven short questions, one answer each. At the end you see your profile, where you stand, and a suggestion for the next step.

About a minute. No sign-up. Your answers stay in your browser until you book a call.

All questions, and how the result is worked out

The seven questions

  1. How many people work at your company?
    • 1–9
    • 10–49
    • 50–249
    • 250–999
    • 1,000 or more
  2. What is your AI budget per year?
    • None
    • Under €5,000
    • €5,000–25,000
    • €25,000–100,000
    • Over €100,000
    • I don’t know
  3. Do you feel you have understood what AI can do?
    • Hardly. AI is still a buzzword to us.
    • A little. We know ChatGPT, not much more.
    • Partly. We know what exists, but not what of it helps us.
    • Mostly. We know use cases for our own work.
    • Yes, well. We know what AI can and cannot do for us.
  4. How many of your staff use AI at least once a week?
    • 0%
    • Under 10%
    • 10–25%
    • 25–50%
    • 50–75%
    • Over 75%
    • I don’t know
  5. Do you have a written AI guideline or policy?
    • Yes
    • In progress
    • No
  6. May company data go into cloud AI tools such as ChatGPT or Copilot?
    • Yes
    • Only some data
    • No, it must stay in-house
    • Unclear
  7. What is most in the way right now?
    • Knowledge in the team
    • No clear use cases
    • Data and IT
    • Budget
    • Legal questions and trust

Where you stand

Questions 3 and 4 decide where you stand: how well AI is understood, and how many people use it at least weekly. More use moves you up; little understanding holds you back. “Don’t know” counts as under 10%. The stages:

  • Getting started: What typically comes next: working out together what AI can do, and trying it on first everyday tasks.
  • First experience: What typically comes next: turning single attempts into shared rules and two or three fixed use cases.
  • Part of everyday work: What typically comes next: improving the workflows where AI already helps, and updating the rules to match.
  • Widely used: What typically comes next: automating whole workflows and deciding which data stays in-house.

The suggestion

The first rule that fits your answers picks the suggestion; the next rule that fits with a different offer is the alternative. If none fits, it is AI orientation. The rules, in this order:

  1. Private AI pilot: Because your data must stay in-house and your company has 50 or more staff.
  2. Work with AI 101: Because AI is still unfamiliar to you and fewer than 10% use it weekly.
  3. AI literacy for teams: Because your staff already use AI but there is no written guideline. Article 4 of the AI Act then requires measures for AI literacy.
  4. AI orientation: Because what you lack most is clear use cases.
  5. AI pairing: Because what you lack most is knowledge in the team.
  6. Workflow automation: Because AI is already widely used and you know well what it can do.
  7. AI Adoption Pulse: Because you have a budget for AI, but few use it yet.
  8. AI orientation: Because a look at your workflows shows where AI helps you most.