Most leaders looking for an AI partner have already been burned once. A budget went out, a demo looked promising, and a year later there is a slide deck and a proof of concept nobody uses. It is common enough to be the base rate: Gartner expects at least half of generative-AI projects to be abandoned after the proof of concept.
The good news is that the difference between a partner who ships and one who does not shows up early, in the answers to a handful of specific questions. Here are the seven that matter most, and what a strong answer sounds like.
01What is your pilot-to-production rate?
Ask for a number, then ask for the story behind it. Which system reached production, what it does now, and what broke in the first thirty days. Anyone can build a demo on clean data. The hard part is the system that survives real data, real permissions, and the workflow a team actually uses. A partner who cannot say how often their work makes it past the pilot has not shipped enough to know.
Comes with a rate and a named example, and an honest account of what went wrong at first and how they fixed it.
02Who owns the system and the code when we are done?
This belongs in writing before anything starts. Some providers keep the keys, so every future change routes back through them and their invoice. The point of building this is to own a capability, not to acquire a dependency. You should end the engagement holding the system and the knowledge to run it.
Full ownership of the system and the code transfers to you, stated plainly in the contract, with no lock to the builder.
03Where will our data be processed?
This is the question most teams skip and later regret. Under the UAE Personal Data Protection Law, sending UAE personal data to a model hosted abroad is a cross-border transfer, and it needs a lawful basis. The model family is not the issue. Where it runs is. A partner who has done regulated work in the region will have a clear answer, and a plan for in-region or sovereign hosting where the work calls for it. Read more in our note on where your AI data is allowed to live in the UAE.
A residency plan mapped before any system touches live data, with in-region or sovereign options named for the sensitive parts.
04What does training and handover actually look like?
Most AI projects do not fail on the technology. They fail because the people who were meant to use the system were never brought into it. Researchers at RAND put the AI failure rate above 80%, and only about a quarter of organisations run formal AI training. Ask who trains your team, when, and on what. Ask whether the training is a single session or something that builds while the system is built.
Your people are trained on real work as the system goes live, not handed a manual at the end. The capability stays on your side.
05How will you build this into the systems we already run?
Integration is the most cited reason enterprise AI stalls. If a partner cannot name your CRM, your ERP, or your document systems in the first conversation, expect the real cost to arrive later as integration work nobody scoped. The system should sit on top of what you already run, not ask the business to move into something new to suit the build.
They connect to where your data already lives, name the systems, and treat integration as part of the work, not a surprise.
06Who owns it after go-live, and what does it cost to keep running?
A system that ships is not a system that lasts. The tools change every month, and an unowned build drifts out of date within months. Analysts put the annual run-cost at 15 to 30 percent of the build. Ask who keeps the system current, how, and what that costs, before you find out the hard way that the budget stopped at launch.
A clear plan for ongoing ownership, whether yours or theirs, with the run-cost named up front rather than discovered a year in.
07Are you tied to one vendor's stack?
Most organisations worry about being tied to one AI vendor. In a 2026 survey, nearly three in four said they would face real disruption if they lost their main one, and switching costs climb fast once your architecture is welded to one supplier. A partner who resells a single platform will find that every problem happens to need that platform. The better answer is a partner who researches what fits your business and recommends it plainly, even when it is not the thing they would earn a margin on.
Tool choices are made to fit your business and built on open standards, so you are not locked to one vendor as the field moves.
Seven questions, and in every case the honest answer is short and specific. That is the real test. A partner who answers with a number and a name is showing you how they will work. One who answers with adjectives is showing you the same thing.
If you ask us these questions, we will answer every one, in plain terms, on a first call. That is where a good engagement starts.
