Most businesses approach an AI consultation with a version of the same question: what can AI do for us? It is a reasonable starting point. It is rarely the right question to spend the most time on.
The more useful question is narrower: given how your business actually operates, where does AI generate real leverage and where does it create more complexity than it removes? That distinction requires understanding the business before evaluating any tool.
What the first conversation is actually about
Before any tool is discussed, I want to understand the business as it runs today. Not the aspiration — the actual workflow. Who does what, in what order, how long it takes, and where the friction is. This is not a lengthy process. Most businesses have two or three areas of genuine operational pain that are immediately obvious once you look for them.
The goal of that first conversation is to produce a short, honest map: here is where AI is likely to help, here is where it is likely to create new problems, and here is where the status quo is probably fine.
What the output looks like
The deliverable from a consultation is a written summary — not a slide deck — with prioritised recommendations. It covers:
- The use cases worth pursuing. Specific tasks where AI integration has a clear ROI — measurable in time saved, error reduced, or capacity created.
- The use cases to avoid. Places where AI would add cost, maintenance, or risk without proportionate benefit.
- The build-or-buy decision. For each viable use case, whether the right solution is an existing tool, a custom integration, or neither.
- The sequencing. What to do first, what to do later, and what to revisit in six months.
What happens after
Some consultations end there — the client has a clear map and can implement with their own team or other partners. Others lead to an implementation engagement where I build what we identified together. Both outcomes are fine. The consultation is not a sales pitch for implementation.
The measure of a good consultation is that the client leaves with more clarity than they arrived with — including, sometimes, the clarity that AI is not the right investment right now. That is a useful outcome too.
If you are trying to figure out where AI fits in your business and want a grounded, honest conversation about it, get in touch.