Readiness is an alignment question, not a technology question
Most AI-readiness checklists inventory the technology: data pipelines, model access, tooling, security. Those are necessary and rarely the reason programmes fail. Programmes fail when the organisation around the technology cannot absorb it - when strategy asks for a pace of change the HR systems do not enable and the workforce cannot sustain. Readiness, in the terms ACI uses, is the degree to which those three levels are pulling in the same direction.
The framework behind ACI treats digital and AI-enabled technology not as strategic change in itself but as a multiplier of the conditions change already runs on. Over an aligned organisation, acceleration is close to free - the system absorbs it. Over a misaligned one, acceleration doesn't create the problem; it raises the price of the problem already there.
The three levels an AI programme has to carry
ACI reads readiness across the same three levels it always measures. Strategic intent - is the ambition for AI clear, prioritised and cross-functionally owned, or is it a slide with no operating consequences? HR systems - do the enablers exist to translate that intent into behaviour: role redesign, capability building, incentives that reward adoption rather than punish the learning curve? Workforce agility - does the workforce have the trust, autonomy and slack to experiment with the tools rather than route around them?
An AI programme depends on the very behaviours a badly framed rollout suppresses: people experimenting, surfacing workflow problems, teaching the systems their edge cases. Readiness is high when the surrounding system invites those behaviours and low when it taxes them.
Why pilots pass and rollouts stall
A pilot succeeds inside a small, hand-picked, highly aligned pocket of the organisation. The rollout has to hold across the whole thing - including the parts where strategy, HR and workforce disagree. That gap between pilot and rollout is exactly the cross-level drift ACI measures: the spread between the highest and lowest of the three levels. A programme can look ready on any single level and still be exposed by the distance between them.
Reading readiness before you commit the budget
ACI prices this explicitly. It captures digital acceleration as a contextual intensity - reported by leadership and HR - and applies an amplification penalty that scales with how much misalignment the acceleration is landing on. High acceleration over strong alignment costs little; high acceleration over a strategy–HR–workforce gap is charged against the score, because that is precisely where transformations break.
"A pre-deployment baseline tells you whether your organisation will absorb the acceleration - or amplify its cost - before the licence fees are committed."
ACI framework noteWhat a readiness baseline gives you
A baseline wave returns three level scores, a composite index, the cross-level drift, and the amplification penalty your intended pace of change would incur. Concretely: it tells you which level is the constraint, how far ahead or behind it sits, and whether to invest first in the technology or in the conditions that let the technology land. Run again after each phase, and the same numbers show whether the gap is closing or widening under load.
See what acceleration costs on your numbers
Set the acceleration high in the interactive model and watch what misalignment costs at speed - or baseline your organisation directly.
Related: AI adoption has a well-being bill · Organisational change calibration