A business AI assistant must start with a clear role
AI assistants become interesting when they stop promising everything. A good business assistant has a simple role: helping to qualify a request, find information, prepare an answer, check a case or summarise a situation.
Name the expected work
Saying “we want an AI assistant” stays too vague. You have to phrase the work: read a ticket and propose a category, search a document base, prepare a meeting-note summary, check whether a request contains the expected documents.
This phrasing helps choose the data, the screens, the rules and the safeguards.
Define the allowed sources
A business assistant shouldn’t invent its knowledge base. Its sources must be known: internal documents, a validated FAQ, procedures, CRM exports, past tickets, product catalogue.
When the answer depends on a source, the user must be able to find that source or understand that the assistant lacks information.
Measure on real cases
A demonstration on three perfect examples isn’t enough. You have to test the assistant on ordinary, incomplete, ambiguous or urgent cases. These are the ones that reveal the necessary adjustments.
You can then decide what should be automated, what should remain a suggestion, and what shouldn’t be handled by the assistant at all.
Next step
Turn this reference point into a concrete project
If this topic resonates with a situation in your organisation, a short diagnostic lets us look at the process, the available data, the risks and the right initial scope.