The problem
Why this stage matters
Organizations often count licenses or active users as adoption. Those signals do not show whether AI has become useful, repeatable or responsibly owned.
Move AI beyond isolated experiments
Adopt is the transition from learning and experimentation toward repeatable AI-supported work with clear human responsibility.
Pilots rarely scale successfully.
Help shape the future of AI Enablement before public launch.
Stage goalA credible adoption pathway connects practical application to ownership, oversight and agreed measures rather than declaring success from activity alone.
Expected evidence
- Learning applied to practical work
- Named workflow
- Human owner outside the product where needed
The intended outcome
What useful progress looks like
A credible adoption pathway connects practical application to ownership, oversight and agreed measures rather than declaring success from activity alone.
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 personal application evidence
Personal adoption is represented when captured learning is applied to an agent in the early-access build.
Current program and service discovery support
Programs and marketplace support can help people find enablement activity and services.
Current operational participation records
Operational program records can show participation and follow-through.
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
Learning applied to practical work
02
Named workflow
03
Human owner outside the product where needed
04
Agreed follow-up measure
Who this helps
Follow the pathway for your role
FAQ
Questions about Adopt
Is AI usage the same as adoption?
No. Usage shows activity. Responsible adoption also requires useful application, ownership, human oversight and appropriate follow-up measures.
Does AISFY currently measure organization-wide adoption?
Not completely. Current records support personal application and program operations; deeper organization adoption records remain developing.
We already pay for AI licences. Isn't that adoption?
Licences show access. Adoption requires that the work is useful, repeatable and owned by a named person, with human oversight where it matters. Unused licences are the most common evidence that access and adoption are not the same thing.
How small can an AI adoption pilot be?
One team and one workflow. Starting bounded is deliberate — it produces evidence you can inspect before anything scales, which is exactly what a wider rollout needs.
What if the pilot shows AI is not helping?
That is a valid and useful result, and better found early on one workflow than late across a department. This stage is built to make application and follow-up visible, including where the expected benefit did not appear.
Stage 04 · Adopt
Join an AI Adoption Pilot
Pilots rarely scale successfully.
Help shape the future of AI Enablement before public launch.