“We need AI” isn't a problem to solve — it's a technology looking for a problem. And that's where most SME projects stumble: a shiny tool is bought, then a use for it is sought. Choosing the right partner starts from exactly the opposite direction — from a clear business problem that costs you money or time. This guide helps you ask the right questions, tell a serious provider from a seller of promises, and understand what a healthy start to a partnership looks like.
Start with the problem, not the technology
Before any talk of models or tools, write the problem as a measurable sentence: “we spend thirty hours a week answering repetitive inquiries,” or “our order-entry error rate is 8%.” A good partner will begin the conversation there, asking about the process and the numbers before proposing a solution. Anyone who opens by showcasing the technology and its capabilities before understanding your problem is selling a tool, not a result. A measurable outcome is the compass that keeps the project on course.
Questions to ask any vendor
- How will you measure the project's success? Ask for one clear metric, not general promises.
- What data does the solution need, and who owns it in the end — me or you?
- What happens if I want to move later? Are my data and system portable?
- What is the true cost of ongoing operation, not just the build price?
- Who runs the solution after handover, and what's the level of support and training?
Red flags
- Vague scope: broad promises with no clear boundary on what will actually be delivered — a recipe for a project that never ends.
- No data plan: anyone who ignores where the data comes from and how it's managed is building on sand.
- Lock-in: a solution you can't leave without losing your data or rebuilding from scratch.
- No success metric: a project with no number to judge it by is one you can't tell succeeded.
- Overselling: “AI will solve everything” — a serious partner also tells you where it doesn't fit.
Build vs buy vs partner — and how to start
You don't have to build everything. For common problems, an off-the-shelf tool is faster and cheaper. For problems specific to your business that give you an edge, custom building is worth it. Between them, partnering with a provider who builds and runs it for you suits those who don't want an in-house technical team. Whichever path, a healthy start is a small, defined scope and a pilot that proves the return on one problem before the big commitment. A partner who suggests you start small and measure, rather than buy everything at once, is usually the right one.
Have a clear business problem you're thinking of solving with AI? Get in touch — we start from your problem and its numbers, and propose the smallest step that proves the return. Learn about our AI consulting service.