Getting started

How to pick an AI consultant for a small business

What to look for, what to avoid and the questions that separate practical help from hype, written for owners who are not technical.

By HampalaEditorial date: 2 min read

The short answer

Pick an AI consultant who starts by asking about your business rather than pitching tools, can explain their plan in plain language, quotes a defined scope before work starts, tests on your real examples and stays responsible after launch. Be cautious of guaranteed savings, vague 'AI transformation' packages and anyone who cannot tell you who maintains the work once it is live.

Do they understand small businesses?

Enterprise experience is valuable, but small businesses need it translated: fewer systems, smaller budgets, no IT department and owners who wear every hat. Ask for examples of similar-sized businesses or workflows, and listen for whether they talk about your customers and staff or only about technology.

Can they explain it without jargon?

If you cannot understand how the workflow will work, you cannot judge whether it is safe. A good consultant can describe what triggers it, what the AI does, where a person checks the output and what happens when it is unsure, in a few sentences.

Questions to ask before you sign

  • What exactly will be different in our week when this is done?
  • Which tools will you use, who owns the accounts and how is our data handled?
  • What is in scope, what is not, and how are changes quoted?
  • How will you test it before it touches customers?
  • Who monitors it after launch, and what does ongoing support cost?
  • What happens if we want to stop?

Download the supplier and data checklist →

Red flags

  • Guaranteed time or cost savings before they have looked at your work.
  • Pressure to sign up quickly or buy a large package upfront.
  • No clear answer about data handling or account ownership.
  • Everything automated end to end, with no human checks.
  • Support ends the day the project is delivered.

Further reference: NIST: AI Risk Management Framework

Consultant, freelancer or managed service?

A consultant advises; a freelancer builds; a managed service builds and keeps running. Which fits depends on whether you have someone in house to own the workflow afterwards. If not, a managed service that sets up and manages the tools, with one monthly invoice, avoids the common situation where a project works on day one and quietly breaks by month three.

Read: Who should I hire to automate my business workflows? →

Sources & further reading

Hampala’s practical guidance, not legal advice. Examples are illustrative, not customer results. Research dates and survey populations are stated where relevant. Tools and provider terms may change.

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