Describe the task, not the technology
Bring an example of a real process, the tools involved and the point at which a human needs to decide. Ask whether a simpler database or rules-based workflow would solve it.
- Who uses the outcome?
- Which data can be accessed?
- What errors are unacceptable?
- Who maintains it after launch?
Assess the proposed approach
A credible proposal should describe an initial pilot, evaluation examples, integration boundaries and how failures are handled. Beware promises of fully autonomous transformation without discussing review.
Birmingham businesses may operate across Solihull, Walsall, Wolverhampton, Dudley, West Bromwich and Sutton Coldfield; remote and in-person collaboration can both work.
Ask for a useful first step
A short discovery engagement can clarify whether to build a custom AI solution, integrate an existing tool or avoid AI entirely.
Questions worth asking
Do I need a local AI consultant?
Not necessarily. Local collaboration may help with workshops, but the ability to understand your data and workflow matters more.
Advice here is general; the appropriate implementation depends on the people, systems and constraints involved.