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Enterprise AI Solutions
in Abu Dhabi.

SM Stratagem builds enterprise ai solutions for Abu Dhabi teams that care about deployment, evaluation, and monitoring — not just the demo that impresses the boardroom.

Abu DhabiUAE + GCC
Enterprise AI Solutions
Scoped smallEvaluated, monitored

Enterprise AI Solutions for Abu Dhabi teams.

Enterprise AI Solutions in Abu Dhabi is what we do when a team is done running pilots and wants a system that actually ships. Abu Dhabi's pull for us is public sector and Mubadala-adjacent enterprise, and briefs coming out of ADGM and the ministries rarely want another pilot that dies before rollout. So our default is enterprise AI programmes that clear governance, security, and change management without stalling, measured and iterated before anything touches production traffic. We handle infrastructure, evaluation, and handover so your team owns the system after we leave, not a black box only we understand. We deliver across United Arab Emirates and the GCC in English and Arabic, with a project lead who owns delivery end-to-end rather than a chain of handoffs. What sets our enterprise ai solutions delivery apart is that the engineer who scopes the build is the same engineer who ships it and shows up at the go-live call. If you have a rough brief, we can turn it into a build plan without a two-month discovery phase that nobody remembers by launch.

In Abu Dhabi, we usually enter through briefs coming out of ADGM and the ministries. The gap is rarely the model — it's the data plumbing and the handover to operations. We spend the first two weeks mapping both, then we build.

What you actually get.

Value

Governance-ready by default

Data-classification handling, audit logs, model cards, and vendor documentation prepared from day one — not compiled the week before go-live. Reviews get done, not deferred.

Value

Change management designed in

Enterprise AI dies when people don't use it. We plan comms, training, and rollout with your change team from week one, and we measure adoption as part of the eval set.

Value

Vendor-review speed

We've been through enterprise procurement in the GCC enough times to know what will be asked. Info-sec, legal, and vendor-management reviews are a scheduled workstream, not a surprise blocker.

Value

Portable, not locked in

Architectures that can move between cloud providers, models, and regions without a rebuild. Enterprise timelines are longer than model release cycles, and that matters.

Where enterprise AI earns its keep.

Use case

Employee productivity AI

A cross-function AI platform (chat, search, drafting) rolled out to thousands of employees, governed, monitored, and adopted.

Use case

Regulated-industry AI

AI for banking, insurance, healthcare, and government — deployed inside the compliance perimeter your regulator expects.

Use case

AI centre of excellence

Stand up an internal AI CoE — platform, patterns, playbooks — so business units can ship AI quickly under a common governance model.

Use case

ADGM and public-sector delivery

For entities inside ADGM and the Abu Dhabi government, we build enterprise AI that respects data-residency, vendor-review, and procurement rules from the SoW onward. The cloud region and audit trail get decided before the first line of code.

What we actually use.

PythonTypeScriptAzure OpenAIAWS BedrockGCP VertexDatabricksTerraformKubernetes

Common questions.

How do you handle enterprise data-governance requirements?

Data classification decides where data can flow. Public and internal data can use hosted model APIs. Confidential and restricted data stays inside your cloud on approved models. We document the policy up front, wire it into the platform, and produce audit evidence automatically rather than compiling it by hand every quarter.

How do you deal with vendor reviews and info-sec?

We treat vendor review as a delivery workstream, not a hurdle. That means responding to security questionnaires with real answers, providing SOC 2 and equivalent evidence where available, and preparing model risk assessments in the format your risk team already uses. Reviews still take time — but they don't derail the timeline.

Can you work inside our existing cloud and identity setup?

Yes. We deploy into your cloud (AWS, Azure, GCP), integrate with your identity provider (Entra ID / Azure AD, Okta, Ping), and match your existing infrastructure-as-code and CI/CD patterns. We don't ask you to adopt new platforms — we work inside the ones you've already standardised on.

How do you handle change management and adoption?

Executive sponsors, function-level champions, staged rollout, comms plan, in-tool onboarding, and adoption metrics on the same dashboard as system health. We measure MAU, WAU, and successful sessions per user, and we tune the product based on what the numbers say. AI that nobody uses is worse than no AI at all.

How long does an enterprise AI programme take?

The programme is often multi-year, but the first useful deliverable ships in eight to twelve weeks. We refuse to run programmes where the first user-visible outcome is more than a quarter away — enterprise attention doesn't survive that. Every quarter has a shippable deliverable and measurable outcome.

Do you work with our systems integrator or Big Four partner?

Yes, often. Many enterprise programmes have an incumbent SI running the broader digital transformation. We come in as the specialist AI build partner, deliver the AI parts of the programme, and hand over cleanly to the SI for ongoing support. That model works well when the accountability is clear from the start.

Can you deliver inside ADGM's regulatory perimeter?

Yes. We deliver into ADGM-registered entities and Abu Dhabi government departments on a regular basis, which usually means tighter data-residency and vendor-review controls. We plan for those constraints inside the SoW rather than trying to bolt them on right before go-live, so audits and reviews rarely become the bottleneck.

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Ready to build?

Start with the smallest useful version.

We'll scope the first release, define the eval set, and give you a build plan you can hand to any engineering team — ours or yours.