Key points
- You have shortlisted AI consultants, and a wrong choice can be costly. The question is which warning signs mean a small business should pause, dig deeper, or leave.
- Be most wary of a tool offered before anyone asks how your work runs now, because the solution was chosen in advance. A good adviser starts with what needs fixing.
- Be wary of a promise of flawless results, because AI can be wrong while sounding certain. Find out how slips get noticed and fixed, and who checks the work before any customer gets it.
- Some offers are automation rebadged as AI. Plain automation is often right; the trouble is paying AI prices, or overstated claims. Ask what the AI part adds.
- A consultant's own write-ups may be honest yet prove little. Ask to call a client with similar work; if none will, treat the write-ups as advertising. Meet whoever will do the job.
- Lock-in means you're stuck: you can't leave or alter anything without the consultant. Look out for no plan to export your data, or a system on their accounts. Settle which changes your staff can manage.
- A cheap quote may leave out readying your data or teaching staff; a pricey one may fund a custom build you can skip. Compare what each includes, and its monthly cost to run.
- One red flag usually isn't enough to rule someone out: a newer consultant might reasonably have no references. Several together weigh more. If one appears mid-project, use the measures and stop point agreed at the start, or set them now.
- A consultant who tells you AI isn't the fix is a good sign: their focus is your problem, not winning the work. The full checklist is in the guide on AI Consultancy Finder.
Transcript
You have shortlisted AI consultants, and a wrong choice can be costly. The question is which warning signs mean a small business should pause, dig deeper, or leave. Be most wary of a tool offered before anyone asks how your work runs now, because the solution was chosen in advance.
A good adviser starts with what needs fixing. Be wary of a promise of flawless results, because AI can be wrong while sounding certain. Find out how slips get noticed and fixed, and who checks the work before any customer gets it. Some offers are automation rebadged as AI.
Plain automation is often right; the trouble is paying AI prices, or overstated claims. Ask what the AI part adds. A consultant's own write-ups may be honest yet prove little. Ask to call a client with similar work; if none will, treat the write-ups as advertising.
Meet whoever will do the job. Lock-in means you're stuck: you can't leave or alter anything without the consultant. Look out for no plan to export your data, or a system on their accounts. Settle which changes your staff can manage. A cheap quote may leave out readying your data or teaching staff; a pricey one may fund a custom build you can skip.
Compare what each includes, and its monthly cost to run. One red flag usually isn't enough to rule someone out: a newer consultant might reasonably have no references. Several together weigh more. If one appears mid-project, use the measures and stop point agreed at the start, or set them now.
A consultant who tells you AI isn't the fix is a good sign: their focus is your problem, not winning the work. The full checklist is in the guide on AI Consultancy Finder.