Top 10 AI Prompts and Use Cases and in the Government Industry in United Arab Emirates

The UAE's AI push is no longer a roadmap - it's reshaping how residents interact with government: national efforts like the UAE AI Strategy 2031 and centralized leadership have turned pilots into production systems (think UAE Pass and Abu Dhabi's TAMM), while Dubai's Paperless Strategy eliminated over 336 million paper transactions and saved more than 1.3 billion sheets of paper, cutting processing times from days to minutes.

Governments aim for AI to power a large share of economic growth (targeting roughly 20% of non‑oil GDP by 2031), and practical rollouts - chatbots, automated eligibility checks, and intelligent workflows - now live across hundreds of services.

For public servants and newcomers wanting hands‑on skills, Nucamp's AI Essentials for Work bootcamp (15 weeks) teaches prompt writing, practical AI tools, and workplace applications to bridge policy and practice.

Learn more about the transformation in this overview of how AI is driving the UAE's government transformation and the nation's economic targets for AI.

Bootcamp	Length	Early bird	Registration
AI Essentials for Work	15 Weeks	$3,582	Register for AI Essentials for Work (15 Weeks) | Nucamp

“The future of AI will not be determined by technocrats and bureaucrats like myself. It will be decided by…the [tech] unicorns who decided to call Dubai home, by technology experts who appreciate the speed of our government and the openness this country has… Our job is to enable you, our job is to ensure you're able to use Dubai and the UAE as a springboard to make global companies that will make global impact and change the future.” - HE Omar Al Olama

Selection relied on three pragmatic filters tailored to the UAE context: strategic fit with the UAE National Strategy for Artificial Intelligence 2031 (prioritising use cases that map to national objectives like smart government, talent and data governance), demonstrated movement from pilots into production with measurable wins (live metrics and case studies from Dubai's 15 AI Use Cases report - think a striking 300% rise in recovered lost items and chatbots answering up to 60–80% of routine enquiries), and responsible‑innovation criteria including regulatory readiness and sandbox testing to balance speed with safety.

Preference was given to cross‑agency platforms and sector rails (health data fabrics, national registries, port/logistics systems) that scale models reliably rather than one‑off “hero” apps, and to projects showing clear KPIs such as diagnostic accuracy, throughput gains, or cost reductions documented in national and industry reports.

Criterion	Why it mattered	Supporting evidence
Strategic alignment	Ensures national goals and funding support	UAE National Strategy for Artificial Intelligence 2031
Production impact	Proven benefits and measurable KPIs	Dubai government 15 AI use cases report - efficiency gains and chatbot metrics
Governance & safety	Enables scaling while managing risk	Analysis of AI regulatory sandboxes and governance in the UAE

“We want the UAE to become the world's most prepared country for Artificial Intelligence.” - H.E. Omar Sultan Al Olama

Dubai's Centre for Artificial Intelligence (DCAI) is turning conversational AI from experiment into everyday service: by working across some 33 government entities and surfacing 183 potential generative‑AI use cases, DCAI has focused pilots on customer‑facing chatbots and virtual agents that personalize service journeys, speed routine transactions, and free staff for complex cases; its “Future of AI in Government Services Accelerator” attracted 615 companies from 55 countries, ran an eight‑week, fully sponsored residency to pilot solutions in real government settings, and has already moved 75 projects into pilots - proof that chatbots here are being treated as operational infrastructure, not gimmicks (see the accelerator overview and the Dubai AI Week coverage).

Integrations are being tested in sandboxes and judged on accuracy, accessibility, and clear data governance so citizens get reliable answers without sacrificing privacy - an approach that makes AI chatbots a practical way to turn wait times into instant, guided outcomes and measurable cost‑savings for UAE agencies.

“The Future of AI in Government Services Accelerator… is designed to spark innovative uses of AI, helping government entities position Dubai among the world's top cities for delivering agile, AI‑powered public services defined by speed, quality, and efficiency. Our goal is to create seamless, intelligent experiences that save time and effort while enhancing quality of life, all in service of making Dubai the happiest city in the world.” - Saeed Al Falasi, Executive Director, DCAI

The Ministry of Health and Prevention is turning personalization into practice with AI tools that catch trouble before it becomes an emergency: the Enayati preventive healthcare platform links sensors and smart bracelets to continuous monitoring and risk prediction for chronic patients, pregnant women, people of determination, frontline staff and workers, sending second‑by‑second alerts to clinicians when vitals go critical; companion apps like Medopad enable remote patient monitoring and predictive insights from home; an 8‑gram AI ECG device showcased at Arab Health streams heartbeat data to clinicians and ambulances for faster response; and a deep‑learning sign‑language translator bridges communication between deaf patients and medical teams in real time.

These operational systems sit alongside MoHAP's Artificial Intelligence Office - building dashboards, predictive birth/death models and tools such as the “Wafed” fraud detector - while a national ethics forum is turning those innovations into governed practice centered on privacy, fairness and clinical accuracy.

Together these projects show how diagnostics, screening and accessible care are being remade from episodic visits into continuous, AI‑guided care journeys across the UAE.

Project	Purpose	Notable detail
Enayati preventive healthcare platform - MoHAP UAE	Continuous monitoring & risk prediction	Smart bracelets, alerts to specialists
Medopad remote patient monitoring app - MoHAP UAE	Home monitoring & predictive insights	Dashboards for clinicians
AI ECG device showcased at Arab Health - MoHAP	Early arrhythmia detection	Weighs 8 grams; smartphone integration
MoHAP Artificial Intelligence Office - AI governance in UAE health	Governance, dashboards, predictive models	Projects include “Wafed” fraud detection

“MoHAP strives to use artificial intelligence and smart technologies to provide quality health services for people of determination, pursuant to the directives of UAE Government to implement the national strategy to empower people of determination and give them priority in decisions and procedures within government institutions, including health facilities.” - H.E. Awad Saghir Al Ketbi

Dubai Municipality is turning smart‑urbanism into everyday infrastructure by combining sensors, solar power and AI to make streets cleaner and collection smarter: a first phase placed 100 solar‑powered, sensor‑equipped smart containers along Sheikh Zayed Road that report fullness in real time, offer separate openings for recyclables and use automatic compression to boost capacity roughly eight‑fold - cutting needless lifts and improving collection efficiency by about 80% (see the smart containers project).

Beyond roadside bins, the emirate is piloting AI‑driven, decentralized waste‑segregation solutions for high‑rise buildings to close material loops in the Circular Economy transition, while broader smart‑city platforms link IoT, predictive analytics and route optimisation so trucks run only when needed and recycling rates climb (read more on AI in smart cities).

The result is practical: less traffic from collection vehicles, fewer emissions, and cleaner public spaces - concrete wins that show why waste management is now a key testing ground for Dubai's AI‑for‑urban sustainability agenda.

Initiative	Focus	Source
Smart waste containers (100 units)	Solar‑powered sensors, dual openings, auto‑compression	Dubai Municipality smart waste containers project - Bigbelly
Decentralized waste segregation pilots	AI solutions for high‑rise buildings, circular economy	AI‑driven decentralized waste segregation grant initiative - Dubai RDI
AI + IoT city platforms	Route optimisation, predictive maintenance, sustainability	AI in smart cities: UAE urban living improvements - Techugo

“The smart containers are designed to the highest and the best quality standards approved in the field. They are solar powered and equipped with electronic devices and high‑precision sensors to monitor and measure the level of waste.” - Eng. Abdulmajeed Saifaie, Dubai Municipality

Dubai Police's Oyoon programme has made predictive policing a visible part of city life by linking an immense network of smart cameras into a central command room that can track people and vehicles across the emirate - sources report the system ties into over 300,000 cameras and can “digitally tail” suspects simply by uploading a mugshot - delivering faster threat detection, quicker emergency response and even reductions in traffic‑related deaths and congestion; AI video analytics power anomaly detection, biometric ID and pattern‑based forecasting that shift operations from reactive to proactive (read the Dubai Police overview and a practical industry take on AI surveillance).

Those gains sit alongside real debates about privacy and rights: watchdogs and reporters stress the need for clear legal guardrails as citywide facial recognition and 24/7 monitoring scale up.

The bottom line for public servants and planners is familiar - Oyoon shows how AI can make streets safer in measurable ways, but it also makes governance, transparency and ethics non‑negotiable parts of any rollout (context and critique available from ADHRB and independent reporting).

“I firmly believe that security is about predicting threats before they happen.”

The Emirati Genome Program is a national, AI‑enabled push to turn population genomics into everyday clinical value: led by the Department of Health – Abu Dhabi with M42, G42 and global sequencing partners, the programme aims to build a UAE‑specific reference genome that anchors precision medicine for Emiratis, from pharmacogenomics to prenatal screening and oncology pathways.

More than 600,000 Emiratis have contributed samples so far and the project has produced hundreds of thousands of high‑quality genomes (including ~100,000 long‑read sequences paired with epigenetic data) to expose population‑specific variants and guide tailored care; the Emirati Reference Genome Platform is the single consensus blueprint clinicians and researchers can query for allele frequencies and clinical annotations.

Advanced infrastructure - an Omics Centre of Excellence plus G42's Artemis supercomputer - and partners like BGI and Oxford Nanopore are turning raw data into actionable risk models and national screening programmes, positioning the UAE as a testbed for precision, preventive healthcare that starts with the genome rather than with symptoms.

Feature	Detail
Reference platform	Emirati Reference Genome Programme - Department of Health (Abu Dhabi)
Lead organisations	M42 Emirati Genome Program page, DoH, G42; partners BGI & Oxford Nanopore
Scale & tech	>600,000 samples; ~100,000 long‑read + epigenetic sequences; Artemis supercomputer

“I want to see the UAE on top when it comes to genomics. But the main goal of this project is to benefit humanity.” - Dr Mohamed Al Ameri

DP World's Jebel Ali operation shows how ports in the UAE turn AI from a buzzword into measurable resilience: the CARGOES TOS+ terminal operating system digitally tracks every element of the yard - containers, equipment and vehicles - to forecast bottlenecks, optimise placements and even inform new hardware like BoxBay, a solar‑powered automated high‑bay storage system that stacks containers closer together to speed retrieval; these AI insights have eliminated roughly 350,000 unproductive moves a year and cut truck servicing time by about 20%, while tools such as CARGOES Rostering promise smarter, regulation‑aware crew deployment to keep throughput high.

Read DP World's account of CARGOES TOS+ and BoxBay for the full rundown and see how digital‑twin thinking is being used to simulate and stress‑test port scenarios before they hit the quayside.

Feature	Detail / impact
DP World CARGOES TOS+ terminal operating system – AI for resilient supply chains	AI tracks container movements, equipment & vehicles to predict inefficiencies
DP World BoxBay solar-powered automated high-bay storage system	Eliminated ~350,000 unproductive moves/year; ~20% faster truck servicing
Shippeo digital twin technology for port efficiency and simulation	Enables scenario modelling for capacity, scheduling and sustainability gains

Talabots bring autonomous, zero‑emission last‑mile delivery into a real Dubai neighbourhood: a pilot by the RTA with DIEZ and talabat UAE launched three delivery robots in Dubai Silicon Oasis (serving Cedre Villas) that travel within a 3 km radius and aim for 15‑minute drop‑offs, tracked and unlocked through the talabat app to keep the customer experience seamless.

Built‑in sensors and AI navigate obstacles and keep a safe distance from children and pets, while on‑device privacy measures blur faces instead of using facial recognition - part of a broader push to increase fleet efficiency, cut carbon from short trips, and meet Dubai's smart‑and‑driverless transport targets.

Read the RTA pilot announcement for autonomous delivery robots and Gulf News coverage of talabots pilot in Dubai for full operational details and local context.

Pilot fact	Detail
Location	Dubai Silicon Oasis - Cedre Villas
Partners	RTA pilot announcement for autonomous delivery robots (DIEZ & talabat UAE)
Robots deployed	Three talabots
Service radius	3 km
Target delivery time	15 minutes
Privacy & safety	Face‑blurring, obstacle detection, safe distance from toddlers/pets

“Smart mobility is one of the six pillars of DSO's Smart City Strategy, which is at the core of piloting carbon-neutral delivery robots in a closely monitored and controlled environment within the hi-tech park. We look forward to the success of this trial, and its expansion as part of DSO's role as an innovation- and knowledge hub under the Dubai 2040 Urban Master Plan.” - Dr Juma Al Matrooshi, Director General of Dubai Silicon Oasis

National archives are becoming active AI labs in the UAE: Abu Dhabi's Arabian Gulf Digital Archive (AGDA) shows how machine‑learning OCR, multilingual search and an innovative viewer can turn two centuries of Gulf records - photos, letters and handwritten pages - into searchable, mobile‑friendly research tools that even highlight English and Arabic search terms on the original scans; see the AGDA project for a close look at the interface and OCR work.

At the same time, specialists warn that Arabic heritage needs more than digitization - it needs curated, machine‑readable corpora and better OCR models so LLMs can interpret nuance in classical scripts and avoid errors, a point explored in depth in “From Manuscripts to Digital Corpus: Structuring Islamic Data Sources for the Future of AI Jurisprudence.” The result for UAE agencies is practical: faster public access, richer digital reconstructions for exhibitions, and archives that can feed responsible RAG systems - but only if investments continue in Arabic OCR, metadata standards and provenance tracking so every discovery stays traceable back to the original document.

Initiative	AI features	Source
Arabian Gulf Digital Archive (AGDA)	Machine‑learning OCR, handwritten & Arabic text search, bilingual viewer with term‑highlighting	Arabian Gulf Digital Archive (AGDA) project - Cogapp case study
Darah Documents (regional example)	Automated indexing (OCR), AI search, contextual linking and real‑time translations	Darah Documents automated indexing project - Arab News
Corpus & OCR challenges	Need for curated, machine‑readable Arabic corpora and improved OCR for classical scripts	From Manuscripts to Digital Corpus - Islamic Law Blog essay

“Automated indexing of historical materials using Optical Character Recognition (OCR) and text analysis technologies contributes to reducing human effort and accelerating accessibility.” - Sultan Al‑Owairdi, Darah spokesperson (Arab News)

MBZ‑SAT has fast become the UAE's high‑resolution eye in the sky, marrying Emirati engineering with real operational impact for environmental monitoring, infrastructure management and disaster response: launched on 14 January 2025, the 750 kg Earth‑observation craft delivers imagery with roughly double the accuracy of its predecessors, produces ten times more images and can push processed captures to analysts within two hours - a capability that turns satellite photos into near‑real‑time relief maps and infrastructure change detection for agencies on the ground (see MBRSC's launch briefing).

Built largely with UAE industry partners and hailed across national media, MBZ‑SAT even prompted celebratory lighting of the Burj Khalifa as teams began live operations, a vivid reminder that faster, finer geospatial data now underpins everything from flood planning to road repairs (coverage and context here).

For planners and emergency teams, a 1‑metre navigation accuracy plus rapid downlinking means decisions can be guided by satellite evidence measured in hours, not days.

Specification	Detail
Launch date	14 January 2025
Mass / size	~750 kg; 3 m × 5 m
Imaging	High‑resolution camera; ~2× accuracy; 10× imagery
Data delivery	Processed images within two hours
Navigation	Accuracy to 1 metre; star tracking
Primary uses	Environmental monitoring, infrastructure management, disaster relief

“We are proud to announce yet another successful mission that is the launch of MBZ‑SAT... This achievement is more than a testament to our capabilities - it is a signal of what lies ahead for the UAE in the realm of space exploration.” - Talal Humaid Belhoul Al Falasi, Vice President, MBRSC

Etihad Airways and Mohamed bin Zayed University of Artificial Intelligence (MBZUAI) are turning tucked-away safety narratives into frontline intelligence: an NLP pipeline (fine-tuned Google BERT + TF‑IDF on Microsoft Azure) ingests roughly 200,000 flight reports, maintenance logs and training entries to surface early risk clusters, cut routine analyst work by about 65% and push alerts with a 90‑second median latency instead of hours - an operational leap that turns backlog into instant, actionable guidance for crews and safety teams.

The partnership also builds local capacity - since the MoU Etihad has trained interns across operations and Emirati graduates through Bedayati - and it pairs practical deployment with MBZUAI research into safer LLM use (uncertainty quantification and regionally aware safety checks) so models flag unreliable outputs before they reach decision-makers.

For UAE aviation and public agencies, this is a clear “so what”: faster, evidence‑based interventions that reduce go‑arounds and keep fleets and passengers safer while growing in‑country AI talent and governed model practice.

Read Etihad's announcement and MBZUAI's safety work for the technical and governance context.

Item	Detail / Impact
Core tech	Google BERT, TF‑IDF on Microsoft Azure (NLP engine)
Data processed	~200,000 flight reports, maintenance & training logs
Operational wins	~65% analyst-hour reduction; 90‑second median alert latency (vs ~12 hrs)
Workforce & training	Internships and Emirati graduate placements under the Etihad–MBZUAI MoU

“Safety is our top priority at Etihad Airways. Etihad is constantly exploring innovative ways to enhance our safety performance; we believe the integration of Artificial Intelligence is a significant leap forward in this direction and is set to be a game-changer in aviation.” - Mohammad Al Bulooki, Etihad Airways Chief Operating Officer

Practical first steps for beginners in the UAE public sector are straightforward: start with hands‑on training to learn prompts and tools - AI Essentials for Work - 15‑Week Bootcamp | Nucamp (Register); pair learning with a firm grasp of the regulatory landscape - review the UAE's evolving governance, the UAE Charter and the UAE AI Seal, plus frameworks like the Law on Projects of Future Nature and sandbox regimes so pilots are compliant by design (an authoritative summary is available in the UAE AI laws guide UAE AI Laws & Regulations 2025 - Global Legal Insights); then run small, data‑first pilots (identity, document automation or a guided chatbot) in RegLab/DIFC/ADGM sandboxes with clear success metrics.

One well‑governed pilot that saves time or reduces errors teaches more and scales faster than many untested proofs of concept - so learn, comply, pilot, measure, iterate, and let a single small win become the launchpad for wider, ethical adoption across UAE government services.

Bootcamp	Length	Early bird	Registration
AI Essentials for Work	15 Weeks	$3,582	AI Essentials for Work - 15 Weeks | Nucamp (Register)