Before your first AI project: a checklist for UAE organisations
Most first AI projects in the UAE stall for the same reasons: the use case is too vague, data rules are settled too late, Arabic is an afterthought, and nobody agreed what success looks like. Settle six things before you start a proof of concept and the project has a much better chance of reaching production.
1. Start from a process, not a model
“We want to use generative AI” is not a project. “Our acquisitions team spends three days screening each plot” is. Pick a process that is repeated often, already produces documents or messages, and has an owner who will use the result every week. The best first projects are usually internal: staff-facing tools carry less risk than customer-facing ones and are easier to measure.
2. Decide where the data can live
Data rules differ depending on where you operate. Onshore organisations fall under the UAE Personal Data Protection Law (Federal Decree-Law No. 45 of 2021). Organisations in the DIFC and ADGM follow their own data protection regimes. Regulated sectors such as banking add their own requirements on top.
In practice there are three hosting options: a model API with contractual safeguards, a model hosted in a UAE cloud region, or an open-weight model running on your own servers. Choose before the proof of concept, because the choice changes the architecture, the cost and who needs to sign off.
3. Plan for Arabic from day one
Customers and staff write in Modern Standard Arabic, Gulf dialect, English, and often a mix of all three in one message. A system tested only in English will disappoint in production. Collect real Arabic examples early, test with native speakers, and check right-to-left layouts in every interface.
4. Agree on the metric before you build
Choose one number the business already cares about: hours per case, response time, error rate or leads converted. Measure it before the project starts. A proof of concept that ends with “users liked it” rarely gets a production budget; one that ends with a measured change usually does.
5. Own the integration
Value appears when AI sits inside the systems people already use: the CRM, the core banking front end, the document management system, WhatsApp. Decide early who owns those integrations on your side, and give the project access to a test environment in the first week.
6. Budget for running, not just building
AI systems have ongoing costs: model usage or hosting, monitoring, and regular tuning as policies, products and language change. Ask for a monthly running cost estimate alongside the build price, and plan who will review quality after launch.
Checklist
- One process, one owner, one team that will use it weekly
- Hosting option chosen: API, UAE cloud region, or on premises
- Data protection, legal and IT security reviewers named
- Real Arabic and English examples collected
- Baseline metric measured before the project starts
- Test access to the systems the tool must connect to
- Monthly running cost estimated and approved
Frequently asked questions
How long should a first proof of concept take?
Four to six weeks is enough for a focused use case with clear data access. Longer usually means the scope is too broad.
Do we need our own data science team?
No. You need a business owner, someone from IT who can grant access, and reviewers from risk or legal. The build team can come from a partner.
Can we keep everything inside the UAE?
Yes. Both UAE cloud regions and on-premises open-weight models make this possible, with different cost and performance trade-offs.
