Everyone has access.The work stayed the same.
Licences are live. The training is complete. The dashboards show activity, but daily work still runs much as it did before.
Logins show that people opened the tool. They do not show whether a workflow changed, better work shipped or new capacity was created.
Another round of training will not fix a system that gives people no ownership, room or reason to work differently.
The real question is not whether people can use AI. It is whether the work changed, and what the organisation did with the value it created.
How we solve it
Four questions turn adoption into changed work. Each one builds on the answer before it.
Which work is worth changing?
We start with recurring work where better speed, quality or capacity would make a meaningful difference, not with tasks that merely make a good demonstration.
Who owns the new way of working?
We build with people inside the team and give every change a clear owner. The new way of working belongs to your organisation before H3 steps back.
Did the change hold?
We measure what people do and what they ship, not simply whether they logged in. The Ownership Metric tracks the share of AI-enabled work the team completes without H3.
How will the business use the value created?
We decide how the freed time or capacity will be used: to improve quality, serve more customers, reduce cost or create new value.
What your team owns after one cycle
Four things your team can use, repeat and extend after H3 steps back.
- A repeatable baseline showing where adoption is working and where it is stuck
- One recurring workflow in which AI has become the team's standard way of working
- Named internal owners who can support and extend the change
- A clear decision about how the organisation will use the time or capacity created
Adoption creates capacity. The business must use it.
Changing daily work is the first horizon. Sometimes the process underneath that work must also be rebuilt. Sometimes the new capacity needs to become a new service, proposition or source of revenue. The three horizons can move at different speeds, but they cannot be treated as separate systems.
The change held
One programme, measured after it ended rather than during it.
Accountancy firm · adoption
After the programme, 96% of participants were still using AI in their daily work, without a mandate to do so. Roughly 162 minutes per person per week were freed on recurring tasks.
Make AI part of how the work gets done.
Bring us one AI initiative that people can use but that has not yet changed the work or produced the expected return. We will help you identify what is holding it back and what needs to change first.