PlaybooksAI readiness
AI readiness, demonstrated, not claimed.
How AI-ready are your people, actually? Three dimensions, at the depth each role needs: use, work with, or build with AI. Measured on what people demonstrate, landing in the systems you already run.
Playbook · installed
The AI readiness playbook
How AI-ready your people actually are: measured on what they demonstrate, at the depth each role needs, landing where you already work.
People see their own results first: consent attached, always.
A readiness score informs a human decision: it never makes one.
One pass. Everything above, working.Nothing you didn't see.
Start AI readinessYour problem, solved.
“We need to know how AI-ready our people actually are.”
A hunch about adoptiona measured baseline.
Three dimensions on everyone (AI literacy and skills, behavioral adoption, calibrated trust) at the depth each role needs: use, work with, or build with AI.
Self-report surveys: everyone rates themselves a four out of five, and nobody trusts the average.
Claimed skillsdemonstrated ones.
Real scenarios and knowledge items, scored consistently against an expert key. You can inflate a self-rating, not a demonstrated score, and the gap between the two is itself a signal.
The AI budget is committed; where the workforce actually stands is a guess.
A one-time scorereadiness as a trend.
Re-run on your cadence: growth visible, regression caught as the models move: a baseline that becomes progress you can act on.
What it is, how it lands.
Measured on what people demonstrate, never self-report.
Three dimensions, at the depth each role needs.
Use AI → work with AI → build with AI.
People see their own results first, consent attached: development is proposed, never assigned.
Scope it in one conversation
Bring the question: an adoption program, an AI hiring bar, a board ask. We define what AI-ready means for your organisation, and you leave with the plan.
Live in weeks, in your systems
Triggered from the ATS or HRIS you already run; results land back where you work. Nothing new to adopt.
Then it runs
Re-measures on your cadence; readiness becomes a trend your people see first and your team can steer on. We operate, monitor and improve it.
Personio
HiBob
BambooHRThe value you get back.
A baseline you can steer on
Where the workforce actually stands, per role and per team. The picture the adoption program and the L&D budget were missing.
A hiring bar for the AI era
A readiness signal on candidates, at the depth the role needs: a soft gate first, a hard one once the numbers prove out.
Growth you can prove
Re-measured on your cadence: development that moved the needle, visible, and regression caught as the models move.
Straight answers.
Companies taking AI adoption seriously: a rollout that stalled on people, an AI bar for hiring, or a board asking where the workforce actually stands.
The instrument is one evidence source inside a decision we help you run: we define what AI-ready means for your organisation, measure it, and land the results where decisions happen. They sell the test; we run the decision.
You can inflate a self-rating, not a demonstrated score. Skills are measured on real scenarios, scored the same way every time, and the claimed-versus-demonstrated gap is itself a signal.
No automated decision-making, ever: a readiness score informs a human decision, never makes one. People see their own results first, consent attached, and every result is traceable.
An upfront delivery fee sized to the solution, plus a monthly platform fee on the connected population. The upfront pays for the definition work (what AI-ready means for you), which is the product, not an overhead.
Grounded in published AI-literacy, technology-adoption and human–AI-trust research: scored on what people demonstrate, never on what they claim.
The shape.
Scoped in one conversation. Installed and tuned on your real cases in weeks. Then it runs: we do the legwork, you approve what matters, and when your process changes the playbook changes with it. Upfront delivery fee + monthly platform fee, sized to the solution, never to your headcount.
This playbook, in your tools: AI readiness in your HRIS · AI readiness in Workday · AI readiness in SAP.
