Ready or Not
Organizations are adopting AI faster than they are building the judgment to use it well.
Most organizations now have AI tools. Far fewer have a defined approach to training their people to use them — and the gap between the two is where wasted spend, unmanaged risk, and quiet frustration accumulate.
The stakes are rising. As organizations grant AI systems credentials, API access, and standing instructions to act on their behalf, the cost of an operator who doesn’t fully understand what they’re authorizing has moved from a bad paragraph to an unintended action. The prevailing response treats this as a governance problem. The deployment data points somewhere else: at a training problem that policy documents alone cannot fix.
Four capability domains, one national benchmark
No existing benchmark measures the training architecture itself — the distance between having AI and having people prepared to use it. This study measures exactly that, across four domains drawn from the C.A.L.M. AI Navigator™ framework.
Clarity
Has the organization named the specific problems AI is meant to address — or have tools arrived ahead of any defined purpose?
Alignment
Is AI use connected to written guidance and approved workflows — or happening outside them, between policy on paper and practice in reality?
Leverage
Where training exists, is it built from the organization’s own work and knowledge — or delivered as generic, off-the-shelf content?
Manifest
Has AI strategy produced things people actually use — playbooks, workflows, training — or stalled at plans and pilots that never spread?
The published benchmark will show how organizations nationwide score across all four domains — by sector, by size, and by the role of the leader reporting — and where the gap between reported maturity and described practice is widest.
Every level of AI maturity belongs in this benchmark. Including none.
The organizations most often missing from AI research are the ones with the least AI activity — which is exactly why their absence distorts every benchmark that follows. If you lead at a U.S.-based organization — executive, learning & development, HR, operations, or equivalent — your perspective qualifies. All of these situations are eligible and wanted:
- Organizations with a formal AI training program or strategy
- Organizations where AI use is happening informally, without formal training or policy
- Organizations that have adopted AI tools but provide no training
- Organizations that have deliberately chosen not to adopt AI
- Organizations that have not yet addressed AI at all
More than one leader from the same organization is welcome to respond — different roles see the same organization differently, and that’s part of what the study examines.
Five minutes. Anonymous by design.
A 5-minute questionnaire
Short, structured questions about how your organization approaches AI — its purpose, its guardrails, its training, and what has actually changed. “We haven’t done anything yet” is a complete and valuable answer throughout.
Optional open-ended questions
At the end, respondents with a few more minutes may answer four short open-ended questions in their own words. Entirely optional; skipping them doesn’t affect your participation.
Anonymous by architecture
The questionnaire collects no names, no email addresses, and no organization names. Report requests are handled in a separate system with no technical connection to responses — re-identification is structurally impossible, not merely promised.
The benchmark, before anyone else
Participants who opt in receive the full national benchmark report before public release — the domain-level national scores, the sector and size comparisons, and the gap analysis between reported and described practice.
About the study
Five minutes. Every maturity level. A benchmark the field is missing.
Whether your organization has a mature AI training program or has never said the word aloud, your response makes this benchmark stronger — and gets you the findings first.