Adoption is the hard part: helping teams trust new systems

Technical success and business success are different things. A system can meet every accuracy target and still return nothing if the people meant to use it work around it. In our experience, adoption is decided less by the model than by whether staff understand it, trust it and feel it makes their work better.

Why teams resist

• They were not asked how the work is really done, so the system does not fit
• They cannot see why the system made a suggestion, so they do not trust it
• They fear the system is there to replace them rather than help them
• Nobody showed them how to correct it when it is wrong

Adoption starts in Discovery

The front-line interviews we run in Discovery are not only a research method. They are the first step in adoption. People who described the problem in their own words recognise the fix when it arrives, and they are far more likely to champion it.

The people who do the work are the best judges of whether a system helps. We ask them first and train them properly.

Training as part of Partnership

In the Partnership phase we run role-by-role training: hands-on workshops built around each team's real tasks, with playbooks they keep. Staff learn what the system does, why it suggests what it suggests, and exactly how to correct it. Corrections then feed back into monitoring and retraining through UniversAIMS.

1. InvolveFront-line staff shape the problem definition in Discovery.
2. ExplainEvery suggestion the system makes shows its basis, so it can be judged.
3. TrainRole-specific workshops and playbooks for each team that uses the system.
4. ListenUsage and corrections are tracked, and the system improves from them.