AI IQ Scorecard

The Top 10 Questions Executives Ask About AI Transformation

These ten questions come up in nearly every leadership conversation about AI. Team-X Radar answers them with actionable, customized steps.

1
Who is adopting AI, and who isn't?

Usage stats and access logs don't tell the full story. The groups that quietly opt out, often the newest staff, become the capability gap you inherit later.

2
Is lagging adoption a team problem or an individual one?

This decides where the budget goes. If the variation sits inside teams rather than between them, a program aimed at "lagging departments" misses the real gap: jagged skill profiles between members that work closely together day by day.

3
Do we have the skills and the capacity to transform?

Missing skills call for training; missing time calls for protected hours. Treating a time shortage as a training problem just adds work to people who have none to spare.

4
Are we getting real value, or just activity?

Token usage proves motion, not results. The test is whether the hours you saved actually mattered, and whether the tools you built survive the vibe.

5
What should we measure to prove AI is working?

Without a baseline and a few repeatable measures, every improvement is just an anecdote. Levels and trends settle arguments and inspire growth.

6
What's actually blocking us: technology, budget, or the way we manage?

Buying more tools is the reflex answer and usually the wrong one. Encouraging people to use AI without funding it caps your return at whatever staff will pay for themselves.

7
Where is shadow AI most likely, and why?

Unsanctioned tools drive your solution-seeking high performers and threaten your most sensitive data. Knowing where gives you leverage... and protection.

8
Do we have the right people-mix to govern AI as it gets more autonomous?

Exploring and standardizing are different instincts. As AI shifts from suggesting to acting, unchallenged outputs become unreviewed decisions.

9
How do we move from pilots to scale?

Pilots rarely fail on merit. They stall because nothing built on a personal account can be shared, and the champions spreading it are doing so unpaid and unrecognized.

10
How do we redesign work, and the workforce, around AI?

Roles are already changing informally as drafting and admin work compresses. Deciding where the freed hours go is the difference between transformation and quiet drift.