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AI Proof of Concept — Dubai, UAE

Validate your AI idea before you invest at scale

We build focused, time-boxed AI proofs of concept on your real data — so you get evidence in weeks, not a six-month project and a hope.

Book a free PoC scoping call
See a document automation project we validated this way
Proof of concept · 3–6 weeks
Scoping callOne use case worth testingFree 30 minutes
Week 1Data readiness checkWhat you have, before any code
Weeks 2–6Build and benchmarkPrototype on your data vs today's process
Go — costed path to productionNo-go — and why

Illustrative engagement timeline.

The problem

Why AI projects stall before they start

Most AI initiatives fail on scope, not capability. Teams plan infrastructure and evaluate vendors for months before anyone has tested whether the use case works on their actual data.

  • No agreed definition of what success would look like
  • Months of planning before the first real test
  • Data gaps discovered after the budget is committed
  • Stakeholder confidence eroding while results are still theoretical
  • Vendor selected before fit is proven
What you get

What we deliver in your proof of concept

A working prototype scoped to a single high-value use case, tested on your data, with benchmarks against the process you run today and a recommendation you can act on either way.

A working prototypeBenchmarks against today’s processA recommendation you can act on
Capabilities

What makes our PoC process different

Use-case prioritisation

We workshop your candidate ideas, rank them by feasibility and likely return, and focus the PoC on one. Narrowing is the point — a PoC testing three things proves none of them.

Rapid prototyping

A working prototype in three to six weeks using pre-trained models, APIs, or lightweight fine-tuning, whichever validates fastest. Speed of answer beats elegance of build at this stage.

Data readiness audit

We assess your existing data before writing code, so you know what you have and what's missing. For UAE businesses this often surfaces the same master-data gaps that e-invoicing compliance will expose in 2027 — worth knowing about either way.

Benchmarks and metrics

Every PoC ships with accuracy, latency, and cost measured against your current manual process. Without a baseline, "it works" is an opinion.

Build, buy or integrate

An honest recommendation on custom build versus off-the-shelf API versus SaaS. Frequently the answer is that you don't need us for the full build, and the PoC is what tells you that.

Production roadmap

If the PoC succeeds, you get a costed roadmap for scaling it — handled under AI agents development or AI integration depending on what the prototype proved.

Our process

How a proof of concept runs

Four steps, each with a clear output. Nothing here runs past the decision.

01 — Scoping call

Free 30 minutes. We size the opportunity and identify the one use case worth testing.

02 — Data readiness check

Week one. We look at what you have before committing to an approach.

03 — Build and benchmark

Three to six weeks. A working prototype on your data, measured against your current process.

04 — Go or no-go

A written recommendation with the evidence behind it, and a costed path to production if the answer is go.

PoC decision pack
Working prototype on your data
Benchmarks vs current process
Written go / no-go recommendation
Costed path to production
The outcome

What you walk away with

  • A working AI prototype against your real data
  • Documented performance benchmarks vs. your baseline
  • Clear go/no-go recommendation with evidence
  • Cost and timeline estimate for full production build
  • Internal stakeholder confidence to green-light the project
  • Reduced risk of large-scale AI investment failure
In practice

What a PoC looks like in practice

A UAE trading company was handling more than 800 supplier invoices a month, around 15 minutes each. Rather than commit to a full build, we validated document extraction on a sample first — including the mixed Arabic and English documents that had already defeated an off-the-shelf tool.

The prototype answered the question. The build that followed brought handling time under one minute per invoice.

Read the full document automation breakdown →
Manual handling~15 min / invoice
After the buildUnder 1 min / invoice
800+ supplier invoices a month, with purchase-order validation in the workflow.
Toolkit

Tools we work with

Prototypes are built with the same platforms your team can keep running afterwards.

OpenAIMake.comn8nZapierHubSpotSlackGoogle WorkspaceAirtableStripeNotionMonday.com
FAQ

Common questions about AI PoCs

How long does an AI PoC typically take?
Most PoCs run three to six weeks. We time-box deliberately — the goal is a clear answer quickly, not a perfect system.
What data do we need to provide?
It depends on the use case. We start with a data readiness audit in week one and work with whatever you have. Even small datasets can validate feasibility.
What if the PoC fails?
A failed PoC is still a useful outcome — it saves you from a costly full build. You get a clear explanation of why it did not work and what to try instead.
Can we take the PoC code into production?
PoC code is intentionally lightweight. If you proceed, we rebuild to production standards. The PoC proves the concept; the full build makes it robust.
What does an AI proof of concept cost?
We scope and quote per engagement, because cost depends almost entirely on the state of your data. What we will say before quoting: if the scoping call suggests the use case cannot be validated in six weeks, we will tell you that rather than sell you a longer PoC.
Where this fits

Before and after a proof of concept

A PoC sits in the middle of the journey. Here is what comes either side.

BeforeAI consultingStart with an AI readiness assessment instead.Start with the assessment →AfterAI agents developmentScaling a successful prototype to production.Explore agents →AfterAI integrationConnecting the prototype to your existing systems.Explore integration →

Ready to prove your AI use case works?

Book a free scoping call. We’ll identify your best candidate and outline exactly how we’d validate it.

Book your free consultation
Start with an AI readiness assessment instead