How to choose an AI consulting company in Dubai

By Saeed Anwar, CEO · 10 November 2026 · 4 min read

Maktek cover: How to choose an AI consulting company in Dubai, a practical checklist

A practical checklist for UAE businesses hiring an AI consultant: what to ask, the red flags to avoid, local data rules and what a good first 90 days look like.

Why the choice matters more than the technology

Most AI projects that disappoint don't fail because the model was wrong. They fail because nobody tied the work to a real business problem, the data wasn't ready, or the team never changed how it worked. The consultant you pick shapes all three, so the choice matters more than which tools end up in your stack.

Dubai has no shortage of firms selling AI. The UAE's national AI strategy aims to make the country one of the world's leading AI nations by 2031, and the market has filled up with agencies, software resellers and freelancers who added AI to their service list. Some are excellent. Many are selling a product they already had. This guide helps you tell the difference before you sign anything.

Start with your problem, not their pitch

Before you speak to anyone, write down two or three outcomes you care about in plain business terms. For example: answer customer enquiries within five minutes, cut the time it takes to prepare monthly reports, or help the sales team qualify leads faster. Put a number on each one if you can.

This does two things. It stops a polished demo from setting your priorities, and it gives you a simple test for every consultant you meet: do they ask about these outcomes, or do they jump straight to their favourite tool? A good adviser spends the first conversation asking questions about your processes, your data and your team. A weak one spends it presenting slides.

Questions to ask any AI consultant

Use these in your first or second meeting. The answers tell you more than any case study deck:

  • Which of our problems would you not use AI for, and why? Honest advisers will rule things out.
  • Can you show us something similar you've built and put in front of real users, not just a prototype?
  • Who will actually do the work, and will we meet them before we sign?
  • Are you tied to a particular vendor or platform, or do you earn commission on software you recommend?
  • Where will our data be stored and processed, and who can access it?
  • How will we measure whether this worked, and when will we know?
  • What happens when the project ends? Who maintains it, and can our team run it without you?

Check they understand UAE data rules

Any AI system that touches customer or employee information is a data protection project as well as a technology one. Onshore UAE businesses fall under the federal Personal Data Protection Law, Federal Decree-Law No. 45 of 2021. Companies in the DIFC and ADGM free zones follow their own data protection regimes instead, and the DIFC has added rules specifically for personal data processed by autonomous and semi-autonomous systems, which covers many AI tools.

You don't need your consultant to be a law firm, and for anything high-stakes you should involve legal counsel. But they should know which regime applies to you, ask where your data will travel, and design with it in mind from the start. If a consultant can't explain which data their solution sees, where it goes and how long it's kept, keep looking.

Red flags to watch for

A few warning signs come up again and again when AI projects go wrong:

  • A fixed solution before they've understood your business, especially if it's the same one on their website for every industry.
  • Promises of dramatic results with no plan for how they'll be measured.
  • A long, expensive strategy phase that ends in a report rather than something your team can use.
  • No mention of training your people or changing how work gets done.
  • Vague answers about data handling, security or who owns what gets built.
  • Lock-in: systems only they can maintain, or accounts and keys held in their name instead of yours.

What a good first 90 days looks like

A strong engagement usually starts small and proves value quickly. In the first few weeks, the consultant should map your processes, check what data you have and agree one or two use cases with clear success measures. By the middle of the engagement, a working version should be in the hands of a small group of real users, with their feedback shaping the next round of changes.

By the end of the first 90 days you should have something running, numbers showing whether it helped, a team that knows how to use it and a short roadmap for what to do next. If the first quarter only produces documents, the project is probably drifting.

How Maktek can help

Maktek works as your Chief AI Officer: we start with your business goals, find the AI opportunities that are worth doing, build them with your team and train your people to use them well. We're based in Dubai, we're not tied to any one vendor, and everything we build runs in accounts your business owns.

If you're comparing AI consultants and want a straight second opinion on where AI fits in your business, get in touch for a short discovery call. We'll tell you where AI can help, and where it can't.