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How to choose an AI consultant: what to ask and what to avoid

April 10, 2026 · di Luca Vitali

The market for AI consulting has exploded. Agencies, freelancers, traditional consulting firms: everyone offers services tied to artificial intelligence. The problem is that quality varies enormously, and for a company approaching AI for the first time it's hard to tell a competent consultant from someone selling smoke and mirrors.

This guide comes from our direct experience with Italian companies. We've seen AI projects go wrong because of the wrong choice of consultant, and we know what makes the difference between a successful journey and one that runs aground. Here's what to ask, what to avoid and how to evaluate.

Why you need an AI consultant (and when you don't)

An AI consultant is needed when a company wants to integrate artificial intelligence but doesn't have the in-house skills to do it effectively and safely. In practice:

The 8 questions to ask an AI consultant

Before signing any contract, here are the questions you should ask. The answers will tell you a lot about the consultant's quality.

1. “Can you show me an AI project you've delivered for a company similar to mine?”

A serious consultant has case studies or references. They don't necessarily have to be in your exact sector, but they must be able to demonstrate experience with companies of a similar size and with comparable problems.

2. “How does your assessment process work?”

The answer should describe a structured process: process analysis, interviews with the team, identification of opportunities, prioritization. If the answer is vague or jumps straight to the “solution,” that's a red flag.

3. “What happens if AI isn't the right solution for my problem?”

An honest consultant will tell you that not every problem is solved with AI. If the answer is always “AI can do anything,” you're talking to a salesperson, not a consultant.

4. “How do you handle data security?”

The answer should touch on GDPR, the AI Act, company policies, tool selection. If the consultant doesn't bring it up spontaneously or downplays the risks, they're not the right partner to manage your data.

5. “Is team training included?”

Implementation without training is a wasted investment. The consultant must include a training plan as an integral part of the project, not as an optional “add-on.”

6. “How do you measure results?”

They must be able to define clear KPIs before the project begins: time saved, errors reduced, costs avoided, productivity increased. If they don't know how to measure success, how will you know whether it worked?

7. “Can you actually build, not just advise?”

Many consultants can talk about AI but can't build. If the need for a custom tool comes up during the assessment, the consultant must be able to deliver it or have reliable partners to do so.

8. “What happens after the consulting engagement?”

Post-implementation support is crucial. AI evolves rapidly, and the company will need updates, further training and ongoing support. Ask whether a follow-up plan is in place.

The 5 red flags: when to run

Here are the red flags that should send you looking elsewhere:

  1. “AI will solve all your problems”. AI is a powerful tool but it isn't the answer to everything. A consultant who promises miracles has understood neither AI nor your company.
  2. They immediately propose a solution without having analyzed your processes. How can they know what you need if they haven't yet understood how you work?
  3. They only use buzzwords and can't explain things simply. “We'll implement a machine learning framework with an end-to-end NLP pipeline” is not an answer. “We'll build a system that reads your emails and classifies them automatically” is.
  4. They don't talk about data security. If the consultant doesn't raise the topic of privacy and the GDPR, they're either about to land you in trouble or they don't know the subject.
  5. They want to lock you into long, expensive contracts from day one. The best approach is gradual: start with an assessment, implement a quick win, measure the results, then decide whether to continue.

The selection criteria: the definitive checklist

Here's a concise checklist for evaluating an AI consultant:

Has demonstrable experience with companies similar to yours

Starts from analyzing your processes, not from the technology

Is transparent about what AI can and can't do

Includes data security in their approach

Plans team training as part of the project

Knows how to measure results with defined KPIs

Can also build, not just advise

Proposes a gradual approach, not a monolithic project

Explains things in an understandable way, without needless jargon

Offers post-implementation support

AI consultant vs. generic agency: the differences

Many digital agencies have added “AI” to their services without having real expertise. Here are the differences between a specialized AI consultant and a generic agency that has tacked AI onto its price list:

AspectSpecialized AI consultantGeneric agency
ApproachStarts from business processesStarts from the tool
SkillsKnows AI, development and businessKnows AI at a surface level
Custom developmentCan build solutionsResells third-party tools
Data securityIs an integral part of the serviceOften overlooked
OutcomeCompany independenceDependence on the vendor

In short

Choosing the right AI consultant is the first step toward a successful integration. Look for a partner who is transparent, competent and who puts your company at the center — not the technology. Be wary of anyone who promises too much and of anyone who doesn't talk about security. And above all, start with an assessment before committing to large projects: a good consultant will suggest exactly that themselves.

Want an AI consultant who meets all these criteria?

Codebaker, a consulting firm specialized in integrating artificial intelligence for Italian companies, offers free assessments, a gradual approach and expertise in both consulting and development.

Discover AI Consulting