The category
AI adoption: how organizations move from AI tools to changed work
The technology usually works. The work usually does not change. Everything on this page is about the distance between those two sentences.
What is AI adoption?
AI adoption is people consistently using AI in meaningful work, without resistance, until it is a normal part of how the work gets done.
It is distinct from implementation, which is putting the technology in place and has a deadline. Adoption has a pace rather than a finish line, and it is decided in the human layer rather than the technical one. The full difference between implementation and adoption.
Implementation has a deadline.
Adoption has a PACE.
What AI adoption is not
- Not implementation. That is putting the tools in place, and it finishes on a date. By the time adoption is the problem, the software usually works exactly as sold.
- Not usage or licence counts. Those measure logins. Adoption is whether the work changed shape, which is a different question and a harder one. Learning metrics, not login metrics.
- Not training. Training adds information to a system that was never information-limited. Your people already know what they are supposed to do. What they run into when they act on it is the part that has not changed.
- Not readiness. Readiness asks whether an organization is prepared to begin. Adoption asks whether something already under way is holding. Why that distinction matters.
The questions executives actually ask
Each of these is answered in full on its own page. This is the shortest route to the one you came for.
- Why do AI initiatives stall when the technology works?
- Because a stall is spread across all four pillars at once and each holds a different piece of it. Includes the four human barriers, and why managers resist most.
- Who should own AI in my company?
- A named executive accountable for the outcome, not the tool. Covers shadow AI, governance, and why blocking tools does not stop it.
- Should we hire a Head of AI?
- Yes, once you know what the job actually is. Your culture will do to that hire exactly what it did to the software.
- Why does a team agree to a change and then quietly not do it?
- Agreement is cheap and changing how you work is not. The smaller version of the work, for one team and one change.
- Which pillar is holding my company back?
- Twelve sentences owners actually say. Tick the ones you have said and the page names your constraint. Two minutes, no email, nothing stored.
How is AI adoption measured?
By behavior, not by logins.
Accorda measures adoption across the four PACE pillars, with twelve domains sitting three per pillar. The organization gets scored. The executives and managers get scored separately, because the layer that carries a decision from the boardroom to the floor is where a strategy either becomes behavior or quietly does not.
Then the same instrument is run again months later. That second measurement is the step almost nobody does, and the only one that can tell you whether any of the first work held. How the whole method fits together.
Where should a company start?
Wherever it actually is. There is no required entry point.
- You already know which area is stuck. Start with a single domain assessment, scoped and priced, rather than buying a transformation programme to confirm what you suspect.
- You know something is wrong but not where. Start with the AI Adoption Gap Diagnostic™, which reads all twelve domains and names the pillar carrying the strain.
- You are not sure there is a problem worth naming yet. The free five-minute Snapshot, or the twelve-sentence self-check. No email, nothing stored.
- It is one team and one change, not the whole company. A $350 consultation. Ninety minutes, a short assessment, a written findings report you keep.