Choose a useful starting point
Identify a task, the current process and the intended improvement. Agree what is suitable to test and what is outside the scope.
Start with the problem worth solving. We help you test where AI can improve the work, design how the tool will be used and get your team ready to use it.
Discuss our AI project
A new tool can add another task unless its purpose is clear. Before choosing or expanding an AI tool, agree what work it should help with, what a useful result looks like and where a person’s judgement is needed.
Identify a task, the current process and the intended improvement. Agree what is suitable to test and what is outside the scope.
Define inputs, outputs, access and review responsibilities. Connect the tool to the process and the people who will use it.
Use realistic examples to check usefulness and limitations. Decide who checks outputs, handles exceptions and approves wider use.
Give your team practical guidance, agree ongoing ownership and plan a review of whether the tool is helping.
We start with a defined use case and a test proportionate to the work. Wider implementation follows an agreed decision, with responsibilities for use, review and maintenance made clear.
Your organisation decides which information can be used, who can access it and who is responsible for decisions. We design the implementation around those requirements and the agreed scope.
Meet Annabelle and AdamNo. The starting point is the task and the problem. We can then assess the tools that fit the agreed requirements.
That responsibility is agreed before implementation. The design identifies which outputs need review, who reviews them and what happens when an output is unsuitable.
Yes. We can discuss how it is being used, where adoption has stalled and what process, guidance or ownership needs attention.
Bring the challenge, the brief or the part that needs more thought. We’ll discuss where support would be useful.
Discuss our AI project