An AI consultant in the UAE who sells you an answer, not a project
Most people searching for an AI consultant do not need a consultant. They need someone to tell them, in writing and quickly, whether the thing they have in mind is worth building, whether a product already does it, and what it would actually cost. So that is what we sell: a short paid assessment of one workflow, ending in a written recommendation you own and can take to any vendor, including one that is not us. To be clear about where the line sits, because the rest of this site sells builds: the first call is free, thirty minutes, and if you already know what you want built, scoping that build is free too and ends in a fixed price. You pay for this assessment when the question is whether to build at all, which is the question a scoping call is the wrong instrument for.
Why "you do not need a consultant" is the honest opening line
The usual shape of AI consulting is a discovery phase that discovers a need for the consultant. It is not a conspiracy, it is an incentive: an engagement that recommends nothing has nothing to invoice next. The result is a strategy deck, a roadmap with three horizons on it, and a pilot that never reaches anybody's real work.
The industry's own analysts forecast the problem, and the forecast has not been checked against what happened. In July 2024 Gartner predicted that at least 30% of generative AI projects would be abandoned after proof of concept by the end of 2025, citing poor data quality, inadequate risk controls, escalating costs and unclear business value, with Rita Sallam, Distinguished VP Analyst, quoted as saying that "after last year's hype, executives are impatient to see returns on GenAI investments, yet organizations are struggling to prove and realize value." The same release put one class of deployment, the kind that transforms a business model, at between USD 5 million and USD 20 million. That band is not the floor for deploying generative AI, and Gartner's own figure shows approaches costing far less; it describes the most expensive end of the range. (Verified July 2026, against the Gartner press release of 29 July 2024, as reproduced at intelligentcio.com; Gartner's own newsroom page blocks automated retrieval.)
Those cost figures describe a different buyer to the one reading this page, and we are not going to pretend otherwise. But the abandonment number is the relevant one, and it is a number about decisions, not about technology. Something got approved that should not have been, or got built before anyone could say what correct looked like. An assessment exists to catch that before the money moves, which is a smaller job than most consulting engagements and a more useful one.
What the assessment is
One workflow, examined properly, written up. Not a strategy, not a roadmap, not an AI maturity score.
What you send us
The workflow you want to change, described the way you would describe it to a new joiner. The systems it runs through, named: HubSpot, Salesforce, Zoho CRM, Xero, QuickBooks, Stripe, Slack, monday.com, Asana, whatever it actually is. Roughly how often it runs and roughly how long it takes today. Access is not required to start, and we do not ask for production credentials during an assessment.
What we do with it
We work out whether the task has a definition of correct that somebody can write down, because a task nobody can grade is a task nothing can be tested against. We check the systems involved for the constraints that decide feasibility: whether an API exists, what it is rate limited to, whether the data the workflow depends on is actually in a system or in somebody's head. We look at whether an off-the-shelf product already does this, and we say so if it does. And we count the exceptions, because the exceptions are what turns a two week build into an eight week one.
What you get
A written recommendation, in prose, that a non-technical director can read and a technical one can argue with. It names the recommended option and the reasons, the constraints we found and where we found them, the failure modes worth planning for, and an indicative cost band with the arithmetic shown rather than asserted. It is your document. Take it to another agency, take it to an internal team, take it to a product vendor and ask them to respond to it. We do not put a non-compete or an exclusivity clause on the output, because a recommendation you cannot shop is not a recommendation, it is a sales tool.
The three things the recommendation can say
Two of them do not lead to a build with us. That is the point of paying for it.
"Do not build this"
The most common reasons we would write this. The task is rare, so the build costs more than the years of manual effort it saves and you should just keep doing it by hand. Nobody can state what a correct output looks like, so there is nothing to test against and no way to know when it breaks. No one will own the exceptions, so the queue of things the software could not resolve will sit unread until the workflow quietly reverts. Or the decision inside the workflow is one a person has to make, in which case automating around it moves the work rather than removing it.
"Buy the product that already does this"
A large share of what people ask us to build is a feature of something they could subscribe to on Monday. If the workflow is genuinely standard, an off-the-shelf tool will beat a custom build on price, on time to value, and on who fixes it at 2am. We will name the product and say why. Our argument against buying is never that the product is weak, because usually it is not: Zapier and Make run code, loops, branching and agents perfectly well. The argument for building is ownership, testability and failure handling, and it only applies when those things are worth paying for in your case.
"Build it, and here is the shape"
When the answer is build, the recommendation says what to build, which band it falls into, and what has to be true before it starts. That is the point at which the conversation moves to AI agent development, and you are free to have that conversation with somebody else using our document.
Why we would publish a service that talks people out of buying
Because the alternative is worse for us. A build that should not have happened is a build that gets abandoned, and an abandoned build is a client who does not come back and does not refer anyone. We would rather charge for the assessment, be right, and be the people you call for the next one.
There is a straightforward conflict of interest here and it is better named than hidden: we also sell builds, so a recommendation to build is a recommendation that benefits us. Three things keep it honest. The assessment is paid, so it stands on its own rather than being a free sample of a sales process. The output is yours to shop, so a self-serving recommendation is one you can immediately price-check against another vendor. And the reasoning is written down rather than presented, so it can be checked line by line instead of remembered as a vibe from a meeting.
What it costs
The assessment is fixed price, quoted in AED before it starts, and it is a small fraction of a build. If you go ahead and build with us, the assessment fee comes off the build price, so paying for the answer costs you nothing extra when the answer is yes.
The build it might lead to is the number most people are actually looking for. An AI agent build with us is AED 10,000 to 50,000, fixed in the proposal before work starts.
| Band | Scope | Price (AED) | Indicative timeline |
|---|---|---|---|
| Single-workflow agent | One trigger, one or two systems, human escalation path | 10,000 to 20,000 | 2 to 3 weeks |
| Multi-system agent | Three or more systems, branching logic, error handling | 20,000 to 35,000 | 3 to 5 weeks |
| Complex agent | Custom logic, compliance constraints, self-hosted model, or heavy integration surface | 35,000 to 50,000 | 5 to 8 weeks |
The dirham is pegged at roughly 3.67 to the US dollar, so that is about USD 2,700 to 13,600. Running costs, which are billed to you by model and hosting vendors rather than by us, are separate, and they are broken down with the arithmetic in what an AI agent costs in Dubai. Read that first if the question you came with was really a budget question, because it will answer it faster than we will.
What the assessment is not
Four things people ask for that this is not, so nobody buys the wrong thing.
Not an AI strategy
We do not produce a company-wide plan for adopting AI, a maturity model, or a training programme. One workflow, assessed properly, is a smaller and more decidable question, and it is the one we are useful on.
Not a regulatory or legal opinion
We will name the constraints we find, including the ones that come from law, as we do on our healthcare page. Naming them is not advice on them. Where a workflow turns on a legal question, the recommendation says so and says who should answer it.
Not a free proof of concept
We do not build a demo during an assessment. A demo that works on five examples is the specific thing that produces the abandoned project in the Gartner number above, because it proves the easy half and hides the exceptions.
Not a vendor shortlist we get paid for
If the recommendation names a product, we hold no reseller agreement or referral fee with it. If that ever changes, the document will say so on the page where the product is named.
Describe the workflow and we will tell you whether it is worth building
Send the workflow, the systems it runs through, and roughly how often it happens. We will quote the assessment fee before we start, and if the answer turns out to be do not build it, that is the answer you paid for.
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