AI adoption: priorities and responsibility
Which ideas warrant a first trial, and what needs to be settled before they can go further?
In a consulting assignment, I brought together discussions with leadership and domain teams, an assessment of use cases and initial prototypes. The remit also included how the work could continue after those trials.
The question
Expectations ranged from reducing routine work to making better use of existing information. Comparing ideas required a shared basis: What benefit could we expect, what effort would it take, and which conditions were still missing?
Early on, I wanted to know who could assess a result in its domain and decide on its further use. Without their involvement, it is possible to build a prototype, but the path to adoption remains unresolved.
My work
I used interviews and workshops to develop a use-case assessment and a roadmap. Selected prototypes helped examine data needs, result quality and questions about integration with existing systems.
I also proposed roles and decision paths for the next stage. The outcome was clearly bounded: prioritised initiatives, tested parts of potential solutions and a proposal for continuing the work. Company-wide adoption remained a separate step.
From trial to adoption
The next step needs a reasoned decision
-
Understand the starting point
Understand goals, workflows and available data
-
Set priorities
Weigh benefit against effort and select a trial
-
Test in everyday work
Test results on real tasks against agreed criteria
-
What follows the trial?
- Is the result useful?
- Is the effort justified?
- Who takes responsibility for its use?
-
Organise adoption
Take responsibility, prepare the team and support use
If the conditions are missing, we change the approach or stop the trial.
Responsibility and enablement
Domain specialists assess results. Leadership and the team agree who decides and what the next stage needs.
Assignment and outputs
An assignment like this can start where many AI ideas exist but a reasoned selection is missing. I lead the discussions, assess benefits and effort with the team and prepare the decision on which applications to trial first.
You receive a roadmap with explained priorities. If I also support trials, the outputs include prototypes and an assessment: What holds up, what needs changing, and who takes the next steps? Training and further support for adoption can be agreed as needed.