Technology must serve people and enhance quality of life: VP

In line with the directives of President His Highness Sheikh Mohamed Bin Zayed Al Nahyan, His Highness Sheikh Mohammed Bin Rashid Al Maktoum, Vice President, Prime Minister and Ruler of Dubai, attended the Agentic AI Retreat.

Sheikh Mohamed was accompanied by His Highness Sheikh Mansour Bin Zayed Al Nahyan, Vice President, Deputy Prime Minister and Chairman of the Presidential Court, and Lieutenant General Sheikh Saif Bin Zayed Al Nahyan, Deputy Prime Minister and Minister of Interior.

The Retreat brought together more than 400 ministers, federal government leaders, and media officials to present comprehensive executive plans for a national system focused on integrating Agentic AI models into government operations, reinforcing the UAE’s position as a global leader in shaping this transformative future.

Sheikh Mohammed said, “I attended the UAE Government’s national Agentic AI Retreat in Abu Dhabi, accompanied by His Highness Sheikh Mansour Bin Zayed and His Highness Sheikh Saif Bin Zayed. More than 400 ministers and senior officials are shaping and implementing the transformation of 50% of government services and operations through Agentic AI, advancing our President’s vision for the UAE to lead the world in this transition. We also launched the first cohort of AI agents covering procurement, tax audit, customer happiness, and technical support, and celebrated the graduation of a new cohort from the Federal Artificial Intelligence Programme.”

Sheikh Mohammed added, “What we are building today, under the supervision of Sheikh Mansour Bin Zayed and with the support of our national teams, is not just a government project, but a model that will inspire the world. Technology must serve people and enhance quality of life. This remains the UAE’s enduring commitment to future generations.”

Sheikh Mohammed, accompanied by Sheikh Mansour, reviewed the general framework of the UAE Government’s new ecosystem, presented by UAE ministers at the Retreat.

Sheikh Mohammed also reviewed the practical projects and applications developed by federal ministries and entities in the field of Agentic AI.

The Retreat featured specialised workshops and sessions for government leaders to develop concepts and enhance the integration of Agentic AI across various facets of government work in the coming phase, in addition to the graduation of the sixth cohort of the Artificial Intelligence Programme.

During the national Retreat, the UAE Government launched the nation’s first cohort of AI Agents, featuring four specialised systems powered by Agentic AI.

This initiative aligns with the UAE’s strategic direction to accelerate the adoption of Agentic AI and transition 50% of government operations and services into AI-powered models within two years.

Designed to support vital sectors, this initial rollout includes the Procurement AI Agent, the Tax Auditing AI Agent, the Customer Happiness AI Agent and the technical Support AI Agent.

The Procurement AI Agent supports procurement teams and streamlines sourcing procedures by optimising workflows to boost overall operational efficiency and speed.

The Tax Auditing AI Agent is designed to enhance data verification and tax review processes, significantly improving compliance, audit turnaround times, and the quality of final outcomes.

The Customer Happiness AI Agent empowers service agents with rapid access to vital information, enabling faster, more efficient responses that elevate the customer’s experience and government service quality.

The technical Support AI Agent manages IT services and assists technical teams in resolving system challenges more effectively, thereby ensuring business continuity and maximising the readiness of digital government services.

During a keynote session, Dr. Sultan Al Jaber, Minister of Industry and Advanced Technology, Managing Director and Group CEO of ADNOC, outlined the company’s AI transformation.

He detailed ADNOC’s progression from building digital foundations to integrating AI into operations, and its current shift toward physical AI, field robotics, and autonomous systems.

WAM