For Heads of L&D, CHROs and CDOs

Know where your AI transformation really stands.

And the one move that actually unlocks the next stage.

A 4-minute readiness check for L&D and exec teams running AI upskilling at scale. Built on Nico Bitzer's 2026 whitepaper and 80,000+ trained employees across Deutsche Telekom, Daimler Truck, Siemens Energy and 30+ enterprises. You walk away with a 0–100 score, your weakest dimension named, and a concrete next move you can take to your next leadership meeting.

→Find the dimension that's quietly killing your rollout— Outcomes, Skills, Adoption or Culture.
→Walk out with one concrete next move, not a generic best-practice report.
→Use it in your next board meeting— a number, not an anecdote, when you ask for budget.

The five stages your organisation could be in

Most enterprises sit between Exploring and Scaling. The check tells you which, and why.

AwareAI is on the radar. Tools bought, emails sent, but no measurement yet.
ExploringPilots and a champion or two. Energy without a system.
ScalingReal programmes for real teams. The gap is activation vs. Monday-morning habit.
EmbeddedAI is part of how work happens across most departments. Outcomes measured.
LeadingOwned across functions, measured against the P&L, executives demo what they built.

What your score actually unlocks

These are the three moves the check almost always points to, depending on where the gap sits.

Get leaders visibly on board

When executives and middle managers champion AI in front of their teams, the value an org gets from it goes up roughly 6×. Most stuck rollouts aren't a tool problem, they're a sponsorship problem.

Land a central AI budget that survives the cut

Hard data on Skills and Outcomes turns next year's training budget from a request into a line item. Without it you're competing with everyone else's wishlist.

Make AI transformation measurable

Train people and know, instead of train and hope. Quarterly measurement gives you a number to bring to the board, not a deck of anecdotes.

What we'll ask you about, 12 sub-dimensions across 4 parents

Outcomes
Is AI creating measurable value in the numbers?
- · Use cases & value capture
- · Productivity gains tracked
- · Reporting cadence
Skills
What can our people actually do tomorrow morning?
- · Skill measurement
- · Skill data feeds L&D
- · Capability vs tool knowledge
Adoption
Is anyone using it on a Monday morning?
- · Daily habit
- · Tool maturity & integrations
- · Shadow AI visibility
Culture
Can people try things without getting punished?
- · Leadership support
- · Learning culture & safety
- · Stakeholder collaboration

📄

You'll get the full whitepaper at the end.

How to make AI work for people, Nico Bitzer's 41-page paper that grounds this check, unlocks on your results page. Lessons from upskilling 80,000+ enterprise employees, and what it would actually take to measure whether any of it works.