Build around a task you can describe.
An AI project works best when there is a specific job to evaluate. That might be finding information in your own documents, sorting an incoming enquiry or preparing a first draft for someone to review. We discuss the task before choosing the tool.
Business assistants and chatbots
A chatbot can help people find answers in agreed information or guide them towards the right next step. We consider the questions it should handle, the information it can use and how it should respond when an answer is uncertain or a person needs to take over.
Drafting and organising information
Some tasks benefit from a first draft rather than a fully automatic answer. We can explore tools that prepare responses, organise incoming messages or summarise material for review. The expected output and the checks around it are part of the project scope.
Where practical AI may fit.
- Finding answers in a defined set of business documents.
- Helping visitors navigate service information.
- Sorting enquiries into agreed categories.
- Preparing draft replies for your team.
- Summarising information for a person to assess.
- Supporting an existing workflow where AI adds a useful step.
Access and human review
We discuss what the tool can access, what it should avoid and which outputs need approval. AI can produce incorrect information, so uncertainty, testing and the route to a person need to be considered from the start.
Agree how success will be judged
Before building, we define examples of the task and what a useful result looks like. We also explain the software involved, expected usage costs and any relevant limitations. That gives you a concrete basis for deciding whether the tool is worth continuing.
Bring a task your team repeats, examples of the inputs and the result you want. We can assess whether AI, a simpler automation or a change to the process is the best fit.
