AI Fluency Diagnostic (entry offer)

Designed

Fixed-fee entry engagement from the AI Fluency & Adoption Architecture. Scored fluency diagnostic (M-01) across a stratified sample: real artefact scored against a rubric + seeded-error task (catch rate under time pressure) — not a quiz. Plus UTAUT-based readiness survey, shadow-usage audit and use-case inventory. Deliverables: baseline fluency report by tier and domain, readiness heat map, risk exposure summary, recommended wave plan. Shows a buyer the spread between confident users and capable users in 20 minutes — the standing answer to 'our people already use ChatGPT' and to 'faster and cheaper'.

2026 revenue target

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No deal plan recorded

Deal plan

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Fixed fee (diagnostic engagement, ~45 min per participant + read-out)

Margin per day

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No day rate recorded

Consultants who can deliver

Nobody is recorded as able to deliver this

Read-only. Editing is disabled on this deployment. Set EDIT_PASSPHRASE in the environment to turn it on.

Risks

11 still open

Licensing exposure on referenced frameworks

Internal · no owner

4D AI Fluency course materials are CC BY-NC-SA (non-commercial) — reference and build on the framework with attribution, do not resell their materials. Gartner, Prosci, Kirkpatrick, Bersin are proprietary: reference by name, credit the source, publish our own instruments in the same shape. Have counsel review anything we reproduce, certify against, or build a paid product on.

Open

Proof assets

21 gap(s)

Fluency Diagnostic instrument (M-01: scored artefact + seeded-error task)

Framework / IP

Building

Framework Foundations map (20+ published frameworks & academic anchors)

Framework / IP

Have

Pain points

People use AI wrongly and confidently — and quietly

Digital / Transformation · also L&D

If unresolved: Two opposite errors at once: over-trust (polished output shipped unverified, data pasted into consumer tools) and under-trust (one bad experience generalised into refusal). Both invisible in a usage dashboard. (Source: Solution Narrative beat 3.)

If resolved: Calibrated reliance: verification proportionate to stakes, shadow usage surfaced, refusers recovered.

Buying factors

'We need it faster and cheaper'Demand Blocker

HR · also L&D

Our response: Offer the diagnostic + leadership alignment as a fixed-fee entry engagement. Never compress by deleting the Align phase — it is the one that prevents the money being wasted.

'Our people already use ChatGPT'Demand Blocker

L&D · also HR, Digital / Transformation

Our response: Ask what % of outputs are verified before use, and what policy says about client data. Usage without discernment is the exposure, not the achievement. Proof: the 20-minute fluency diagnostic showing the spread between confident and capable users.

Competitors

No competitors linked.

Differentiators & buyers

Behavioural Risk Register (14 named failure modes)

Fourteen research-anchored human failure modes with mechanism, countermeasure and assessment. Nobody else in the market brings this to a first meeting — it shows buyers their usage dashboard cannot see their real problem.

Behaviour-level measurement (Kirkpatrick L3–5)

Baseline + re-test with scored artefacts, appropriate-reliance rate, verification evidence, shadow-AI gap, value realisation on redesigned workflows. Almost every competitor stops at reaction/completion — this wins renewals.

Dual Fluency Model (10 domains: machine + human)

Machine fluency (mental models, delegation, description, tooling, workflow redesign) + human fluency (discernment, trust calibration, identity & change resilience, ethics, leading AI work). Neither half works alone — the market teaches only the machine half.

Notes

Sub-offering of the AI Fluency & Adoption Architecture (see Accelerated AI Adoption). Working title — rename to brand. Deliberate low-friction door-opener; leads into Align phase or full journey. Never sell training (Apply) without this baseline — unmeasurable work does not renew.