Driver Licensing AI Transformation Programme · Executive demonstration

RTA AI Experience Hub

Intelligent mobility starts with intelligent services.

A unified demonstration platform showcasing how AI can transform driver licensing, training, testing, regulation and customer services — responsibly, on shared foundations, with people in the loop.

Explore AI Use Cases View Transformation Roadmap Watch the eligibility agent demo

18
AI use cases: from the DLD portfolio; 8
Interactive demos: live in this hub; 7
Shared foundations: instead of 18 platforms; 4
Process areas: training · testing · issuance · providers

The transformation

From case-by-case administration to intelligent, evidence-led services

The Driver Licensing portfolio spans four process areas — training & qualification, driver testing, permit & licence issuance and service-provider management. Each use case in this hub is drawn directly from the programme's use-case register.

Customer-first services

Routine licensing completed without a visit; residents reached with the services they qualify for before they ask.

One standard, evidenced

Consistent theory, training and testing standards across ~27 institutes and every examiner, backed by evidence and audit trails.

Shared foundations

Seven reusable capability foundations — knowledge & RAG, agents, document AI, prediction, vision, rules, governance — not eighteen point solutions.

Human accountability

Regulatory decisions stay with accountable officers. AI extracts, scores, recommends and prepares evidence; people approve.

Intelligent training & qualification

5 use cases

Intelligent driver testing

6 use cases

Intelligent permit & license issuance

4 use cases

Intelligent service provider management

3 use cases

Featured demonstrations

Eight interactive demos, ready today

Fast-to-demonstrate experiences built on realistic data and the shared foundations. Every card links to a working demo workflow — not a static mock-up.

All 18 use cases

DLD-3.1

Customer Services

Live Demo

Eligibility & Document Verification Agent

Read, validate and decide routine licensing cases end to end.

Document AIAgentic AI+1

ValueComplexity

Launch Demo

DLD-1.2

Learning & Training

Live Demo

AI Driving Coach

A curriculum-grounded tutor and adaptive theory practice for every learner.

Generative AIPredictive AI

ValueComplexity1

Launch Demo

DLD-2.1

Testing

Live Demo

Test Demand & No-Show Optimisation

Forecast demand, predict no-shows and refill freed slots automatically.

Predictive AIOptimization

ValueComplexity

Launch Demo

DLD-4.1

Institutes & Governance

Live Demo

Institute Request Agent

Assess institute requests against the circulars and precedent, then route.

Agentic AIGenerative AI+1

ValueComplexity1

Launch Demo

Shared AI capability architecture

Seven foundations power every use case

The portfolio does not require eighteen separate AI platforms. Each use case composes a small set of governed, reusable capabilities.

Enterprise Knowledge & RAG

Governed retrieval over curricula, circulars, contracts and precedent so every generated answer is grounded in RTA sources with citations.

AI Driving Coach Contract & Circular Intelligence Curriculum & Question Bank Intelligence Institute Request Agent AI Translation Hazard Perception Training

Agentic Workflow Platform

Multi-step agents that read, retrieve, check and prepare recommendations — always handing regulatory decisions to an accountable officer.

Eligibility & Document Verification Agent Institute Request Agent Proactive Service Agent

Document Intelligence

Classification, extraction and validation for identity, licence, medical and translation documents, contracts and forms.

Eligibility & Document Verification Agent Contract & Circular Intelligence Institute Request Agent

Predictive AI & Optimisation

Forecasting, risk scoring and scheduling optimisation on RTA's own booking, outcome, roster and record data.

Test Demand & No-Show Optimisation Driver Risk Intelligence Institute & Instructor Evaluation Examiner Intelligence AI Pre-Assessment Proactive Service Agent+4

Computer Vision & Multimodal AI

Identity matching, in-vehicle and yard event detection, proctoring and vision screening from camera, sensor and audio signals.

Camera Identity Verification AI-Assisted Road Test Scoring Practical Training Analytics Remote AI Proctoring Smart Home Eye Test AI Pre-Assessment+2

Rules & Decision Engine

Codified eligibility rules, circular criteria and approval thresholds — deterministic, versioned and auditable.

Eligibility & Document Verification Agent Institute Request Agent Proactive Service Agent Smart Home Eye Test AI-Assisted Road Test Scoring Institute & Instructor Evaluation+3

Responsible AI & Governance

Human oversight, confidence thresholds, audit trails, consent, fairness review and data-privacy controls across every use case.

Supports all 18 use cases

Business outcomes

Value the programme can evidence

Ranges are taken directly from the use-case register's KPI and revenue assumptions. They are indicative and will be validated in detailed design.

47–88

AED million

Indicative annual revenue range

Sum of workbook revenue estimates across use cases (gross, before offsets)

17–25

FTE

Productivity released

Back-office, assessment, contract and evaluation capacity

24–28

FTE

Customer Happiness Centre capacity

Eligibility agent with proactive service communication

10–20

Fewer new-driver accidents

Hazard perception, curriculum and analytics use cases combined

First-attempt pass rate

30% today against a 33% target; uplifts of +0.6 to +1.6 pp from training analytics and institute variance.

Waiting times & utilisation

~5,000 tests a day; 5–10% no-shows rebooked from a waitlist and examiner rosters matched to forecast.

Routine cases without a visit

~1.45 million routine transactions a year eligible for end-to-end automated handling with exception review.

Interactive preview

See the interaction model before you sign in

Each demo is a working product workflow with realistic data, visible confidence and human review — a taste of the full experience inside the hub.

Open the full Eligibility Agent demo

rta-ai-hub / /use-cases/eligibility-document-agent

Live demo

Document received
Classification
Data extraction
Validation
Rules evaluation
Eligibility decision

Extracted fields · Emirates ID

Name: Fatima Al Marzooqi
ID number: 784-1993-2841657-3
Expiry: 14 Feb 2028
Nationality: United Arab Emirates

Extraction confidence

98%

Transformation roadmap

Demo, then Phase 1, then Phase 2

A deliberate sequence: prove the interaction model on mock data, integrate with Tadreeb, Ebooking and licensing systems, then scale the sensing and data programmes.

Full roadmap & dependencies

Demo / PoC

Now

Fast-to-demonstrate AI experiences

Eight interactive experiences built on mock data and shared foundations to prove the interaction model and value narrative.

AI Driving CoachCurriculum & Question Bank IntelligenceTest Demand & No-Show OptimisationAI TranslationEligibility & Document Verification Agent+3 more

Phase 1

Wave 1

Production integration and operational deployment

Wave 1 use cases connected to Tadreeb, Ebooking/QMATIC, licensing systems and partner data, with governance and human review in place.

AI Pre-AssessmentAI Driving CoachHazard Perception TrainingCurriculum & Question Bank IntelligencePractical Training Analytics+10 more

Phase 2

Wave 2

Advanced strategic AI capabilities

Wave 2 service-provider intelligence plus the sensing and data programmes that mature over a multi-year horizon.

Institute Request AgentContract & Circular IntelligenceInstitute & Instructor Evaluation

Flagship Strategic InitiativeDLD-2.5 · Wave 1

AI-Assisted Road Test Scoring

Cameras, motion sensors and cabin audio score every manoeuvre against the published standard and fault codes. An evidence clip per fault supports borderline examiner review and candidates receive an instant per-skill result. The initial production approach is examiner decision support — not uncontrolled autonomous testing.

~140: FTE in testing today
30% → 100%: sensor-captured faults, 2028 ambition
3–4: FTE productivity in review

Explore the concept Use-case brief

AI recommendation

Decision support

FAIL

Confidence

Critical event: Failed to stop before stop line; Fault code C-04 · Junction 3, Smart Track loop
Timestamp: 08:42; Vehicle speed 18 km/h at line · 0.0 s stop

▶Evidence · View video (12 s clip)

Awaiting examiner decision

Conceptual flow

Camera / Vehicle / Smart Yard signals
Cabin & exterior cameras, CAN-bus motion sensors, Smart Yard and Smart Track telemetry, cabin audio.
Multimodal AI engine
Fuses video, telemetry and audio into a time-aligned event stream for each manoeuvre.
Driving event detection
Detects stop-line compliance, lane discipline, mirror checks, speed and yield events.
RTA fault taxonomy
Maps detected events to the published marking standard and fault codes (minor · serious · critical).
Evidence & confidence
One evidence clip per fault with timestamp, confidence and the rule that was applied.
Examiner decision
The examiner reviews borderline calls from evidence and makes the appealable decision.

Executive demonstration

Transforming the driver licensing ecosystem through responsible, data-driven and agentic AI.

Sign in with demo access to open the executive dashboard, launch the eight interactive demos and walk the roadmap in presenter mode.

Open the hub Start presenter mode

Human-in-the-loop for regulatory decisions Evidence, confidence and audit trail on every recommendation Fictional data · demo environment