The problem
Why this stage matters
Organizations often buy tools or commission training before understanding workforce readiness. Without a baseline, every later claim about adoption or improvement rests on guesswork.
Start AI enablement with a real readiness baseline
Assess is the first stage of the AI Enablement Journey. It establishes what people know, how confident they are, where responsible-use gaps exist and what should happen next.
Most organizations don’t know where they actually stand.
Set your baseline, then track progress across learning programs.
Stage goalA useful assessment produces a starting point, visible gaps and priorities that can guide learning and program design.
Expected evidence
- Completed baseline
- Stage-level gaps
- Reassessment change
The intended outcome
What useful progress looks like
A useful assessment produces a starting point, visible gaps and priorities that can guide learning and program design.
What AISFY supports
What you can do today
Available today. Where something still needs organization-wide data, we say so instead of implying it works.
Current individual readiness baseline
Individuals can complete the core AI readiness assessment and retain a personal baseline.
Current support for personal reassessment
A later assessment can create a personal readiness change.
Current organization readiness aggregate
Organizations can see privacy-protected aggregate readiness only when consent and the minimum population threshold are met.
Evidence of progress
What this stage can leave behind
A record is useful when it helps someone understand what happened, what changed or what should happen next.
01
Completed baseline
02
Stage-level gaps
03
Reassessment change
04
Evidence-based next action
Who this helps
Follow the pathway for your role
FAQ
Questions about Assess
What does an AI readiness assessment measure?
It establishes a practical baseline across the stages represented in the current assessment. It should guide priorities, not be treated as a certification or a prediction of ROI.
Can an organization see individual answers?
Organization readiness sharing is explicit and default-off. Available organization views use privacy-protected aggregates and a minimum population threshold.
We already ran an AI skills survey. Why do this again?
A one-off survey captures a moment and usually ends in a spreadsheet. A readiness baseline is built to be repeated, so the change between assessments becomes the evidence — and it stays connected to the learning and practical work that follow in the AI Enablement Journey.
Is a readiness score proof that someone can do the work?
No. It reflects confidence, knowledge and responsible-use awareness. Treat it as decision support for choosing priorities, not as verified competence or a prediction of job performance.
What do we actually get at the end of it?
Individuals keep a personal baseline with stage-level gaps and an evidence-based next action. Organizations see privacy-protected aggregate readiness only once consent and the minimum population threshold are met — nothing is shared by default.
Stage 01 · Assess
Get Early Access to AI Readiness Assessment
Most organizations don’t know where they actually stand.
Set your baseline, then track progress across learning programs.