AI Workflow and Evaluation Readiness for Dubai Government Services
Dubai's AI Policy for Government Entities establishes a common direction based on explainability, human-centred design, interoperability and proactive regulation. Implementation requires those principles to become service requirements, decision rights, evidence, controls and measures that teams can use.
From policy to operating practice
Dubai announced its during Dubai AI Week 2025. The policy establishes a unified governance framework based on explainability, human-centricity, interoperability and proactive regulation. It supports Dubai's ambition for predictive, efficient and personalised government.
A policy principle becomes useful only when it changes the way a service is selected, designed, procured, tested and operated. The implementation task is therefore to translate each principle into requirements that service owners, data teams, suppliers, reviewers and front-line employees can apply.
Define the service before the AI
The entity should describe the service user, intended result, legal or administrative decision, evidence required, current workflow and points of delay or failure. It should distinguish a service problem from a channel problem. A new interface will not resolve fragmented records or unclear ownership.
The future design should explain what becomes proactive or personalised, which actions an AI system may take and where the person retains choice or access to human support.
Make explainability decision-specific
Explainability does not mean exposing every internal model calculation. It means giving the right person enough information for the decision they must make. A service user may need the reason for a request or outcome and a route to challenge it. A reviewer may need the evidence, confidence, policy rule and sequence of tool actions. An auditor may need records showing which model, prompt, data and permissions were active.
The entity should define these needs before procurement and testing.
Design for people, including exceptional cases
Human-centred implementation begins with real journeys and the variety of people who use them. Testing should include Arabic and English, accessibility needs, low digital confidence, unusual household or business circumstances and incomplete records. The service should state when a person can ask for help and how work returns to a human team.
A nominal human-in-the-loop control is weak if the employee receives hundreds of alerts, cannot see the evidence or is measured only on speed.
Build interoperability around meaning
Interoperability requires more than an application programming interface. Entities need agreement on identifiers, definitions, authoritative records, update timing, permissions and responsibility when sources conflict. Agentic workflows also need transaction logs that connect each action to the record and rule used at the time.
A shared field with different meanings can produce faster but less reliable coordination. Data contracts and service-level expectations should therefore be part of the operating design.
Use proportionate governance
Low-consequence assistance and high-consequence public decisions should not face identical controls. An impact assessment can classify affected parties, authority, reversibility, scale and material failure modes. The result should determine approval, evaluation, monitoring and incident requirements.
Procurement should require vendors to demonstrate performance in the intended Dubai service context, disclose relevant limitations and support testing, logs, change control and exit. A general benchmark is not sufficient evidence for a particular government service.
Measure the service after launch
Measurement should include service completion, time, repeated evidence requests, exceptions, complaints, appeals, accessibility and user outcomes. AI measures such as unsupported statements, tool failures and escalation accuracy are diagnostic measures. They should be connected to the public-service result.
Monitoring must also identify changes in data, policy, models and integrations. Material change should trigger renewed evaluation rather than an assumption that the original approval continues indefinitely.
How Marketways supports implementation
Marketways can help an entity translate policy into a service portfolio, map current and future workflows, define data and system requirements, design decision rights and create evaluation evidence. Business Systems Design and Architecture covers the connected operating system. Process and Workflow Analysis and Redesign examines the flow of work. AI Governance and Model Risk defines proportionate controls and evaluation.
The objective is to support Dubai's vision through services that remain useful, explainable and controllable in practice.
Independence and scope
Marketways provides independent management and technical advisory, including readiness assessment, workflow and system design, implementation planning, data and integration review, AI evaluation, governance design and management decision support. Marketways is not affiliated with, appointed by or representing any UAE or Dubai authority, regulator or public initiative mentioned on this page. It does not provide legal opinions, regulatory approvals or certification decisions. Readers should confirm current requirements with the responsible authority and obtain specialist advice where needed.