Greater clarity
Employees understand what AI is for and where its limits lie.
Make AI part of everyday work, with clear expectations and guidance.
Many AI solutions are delivered as working technology but see limited use. Employees may lack confidence in them, clarity about their purpose or a clear fit with their workflows. AI adoption builds engagement, understanding and behavioural change around a specific application.
An application only becomes meaningful when it fits a specific task and uses the information available for that task.
Adoption starts during design, not just with training after delivery. That’s why we define in advance what the solution should and should not do, how its output will be checked and who remains responsible.
Employees understand what AI is for and where its limits lie.
Learning and guidance focus on familiar tasks and processes.
Feedback and usage data help improve how it is applied and how employees are supported.
We map employees’ roles, tasks and concerns.
We make clear what people need to do at each stage of the process.
We combine communication, training and support.
Employees work through familiar situations and agreed ways of working.
We gather feedback and adjust how it is applied and supported.
This service is relevant for organisations implementing AI solutions. The exact setup depends on the process, the available data and the risks associated with the application.
We therefore start with a clearly defined application and only expand once the initial setup works in practice.
This service addresses the following challenge: AI adoption brings together engagement, explanation and behavioural change around a specific application. How it works in practice depends on the process and the available data.
The service may be relevant to organisations introducing AI solutions. A specific need and usable information matter more than the size of the organisation.
That depends on the chosen application. We start with the question that needs to be answered, then determine which data or sources are necessary and suitable.
No. For fixed, predictable tasks, standard automation may be enough. We choose the simplest approach that addresses the challenge and add complexity only when needed.
We define the scope of the application, test the results with users and put appropriate checks in place. Once it is in use, we monitor how it works and adapt the solution when the data, its use or the context changes.
Want to explore where it makes sense to start with AI adoption? Together, we map out the challenge, the available information and the conditions needed.