eltyoSupport AI adoption across your teams
Tools can be available while their purpose remains unclear. When should someone use an assistant? How should they review its output? Who handles an error or updates a source? Adoption depends on practical answers to these questions.
We help your teams choose a useful application and make it part of their working practices. The project connects people, information and software. Business teams bring their knowledge of the work, while technical colleagues clarify what can be connected and the conditions for putting it in place.
Begin with a shared priority
We look for a need users recognise and an improvement they can observe. The first scope considers their availability, accessible sources and the support needed after initial testing. It should be clear enough for people to understand what is changing and how they can contribute.
- Describe the task and the difficulty people experience today.
- Define what the assistant prepares and what the team decides.
- Select the examples used to assess its work.
- Identify who is responsible for access and ongoing review.
- Create a way to ask questions and share feedback from use.
These choices make the process understandable and give participants an active role in shaping the new way of working.
Learn with familiar situations
Onboarding uses examples from everyday work. Users try the assistant, check its suggestions and identify cases that require their involvement. They also learn how to report a problem, find the sources used and follow the rules for accessible information.
Feedback may lead to a change in the assistant, a simpler process or a clearer document. The aim is to improve the overall experience of doing the work, with assistance that people understand and know how to use. Practical guidance stays connected to the responsibilities agreed for the project.
Expand with shared reference points
We look at usage, quality, time involved and points of friction. These help decide whether to adjust, consolidate or open a new scope. An additional use case brings its own sources, rules and responsibilities.
An AI opportunity review can establish priorities. Agent oversight supports everyday operation. Progress comes from what your teams learn, with a framework that can develop alongside their needs.