Dubai Adopts Unified Workforce Productivity System Across Government Entities

Dubai has adopted a unified Workforce Productivity Measurement System across government entities, using data, advanced analytics, machine learning and artificial intelligence to measure performance and support more accurate workforce and resource-planning decisions.

The Dubai Government Human Resources Department (DGHR) announced the government-wide adoption of the system under Executive Council Resolution No. 67 of 2025, describing it as a major step towards building a more data-driven, efficient and future-ready government.

System Now Covers 32 Government Entities

The initiative has been developed over a period of around five years.

Work began in 2020 with a pilot phase involving a limited number of government entities. The project was subsequently expanded, with a Workforce Productivity Measurement Steering Committee established in 2023 to help develop the methodology and prepare entities for wider implementation.

Today, the system covers 32 Dubai government entities and provides a common framework for evaluating workforce productivity across the government.

Rather than looking only at employee numbers, the platform analyses the relationship between several factors, including:

•    Human resources
•    Financial resources
•    Government services delivered
•    Workforce size
•    Total salaries
•    Actual working hours
•    Service outputs and outcomes

This allows government departments to gain a more comprehensive picture of how resources translate into services and results.

Millions of Data Points Analysed

During its development, the system created an integrated knowledge base based on the analysis of millions of data points.

According to DGHR, this data has helped Dubai develop a unified methodology for measuring productivity while improving the way government resources are allocated.

The objective is not simply to rank employees or departments.

Instead, the system is designed to help decision-makers understand where resources are being used effectively, where productivity can be improved and how services can be delivered more efficiently.

AI and Machine Learning Support Decision-Making

A key part of the platform is the use of advanced digital technology.

The system incorporates analytical tools and digital platforms supported by machine learning and artificial intelligence, enabling government entities to continuously monitor productivity indicators and analyse the relationship between resources and outputs.

These capabilities can provide officials with insights that support:

•    Workforce planning
•    Resource allocation
•    Budget decisions
•    Institutional performance
•    Policy development
•    Government service improvements

By analysing information across multiple government entities using a common framework, Dubai aims to make decision-making more consistent and evidence-based.

From Measuring Productivity to Improving Services

Under Executive Council Resolution No. 67 of 2025, the productivity system is designed to operate through several phases.

The initial stage measures productivity by comparing the services delivered by a government entity against factors such as the size of its workforce, salaries and working hours.

The results are then analysed to identify opportunities for improving efficiency and services, followed by initiatives designed to address those opportunities.

The final phase evaluates the effectiveness and impact of the system itself.

This approach means productivity measurement is intended to lead to practical changes rather than simply generating statistics.

DGHR Leads Implementation

The Dubai Government Human Resources Department is responsible for managing and supervising the system in coordination with other government entities.

Its responsibilities include developing productivity indicators, reviewing results, recommending measures to improve efficiency and monitoring compliance.

The General Secretariat of The Executive Council of Dubai, Department of Finance and Digital Dubai also have roles in providing data, technical support and financial information required by the platform.

Government entities are required to provide relevant workforce, service and budget information and implement initiatives aimed at improving productivity and financial efficiency.

Data at the Heart of Government Decisions

Abdullah Ali bin Zayed Al Falasi, Director General of DGHR, said the adoption of the system represents an important milestone in Dubai’s efforts to establish government operations driven by data and advanced analytics.

He said the system goes beyond measuring productivity by creating a common methodology capable of improving resource allocation, service quality and long-term institutional performance.

The initiative forms part of Dubai’s wider drive to use data and artificial intelligence throughout government.

In April 2026, Dubai also announced plans to move towards a government model in which performance is increasingly based on integrated data and AI, supported by machine-learning models, AI infrastructure and advanced analytics.

Building an AI-Ready Government Workforce

The productivity system also complements Dubai’s wider investment in preparing government employees for an AI-powered workplace.

Digital Dubai previously launched the AI Workforce Transformation Program (AI+), which aims to train 50,000 Dubai Government employees in practical artificial intelligence skills.

Training areas include prompt engineering, AI agents, task automation and productivity tools, alongside specialised programmes for managers, executives and government AI officers.

Together, these initiatives demonstrate Dubai’s strategy of combining human talent with data and technology rather than treating AI as a standalone transformation.

Towards a More Efficient Government Model

Dubai’s unified productivity system represents a shift toward managing government resources through measurable outcomes and real-time insights.

By connecting workforce information, financial data and service performance, authorities can better understand how government resources are being used and identify opportunities to improve efficiency.

The ultimate objective is to create a government that is more agile, proactive, efficient and sustainable, while maintaining high-quality services for residents, businesses and visitors.

As artificial intelligence and advanced analytics become increasingly important to public administration, Dubai’s approach could also provide a model for how governments integrate technology into workforce planning and performance management.