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UAE accelerates Agentic AI adoption with federal workshop involving 50 government entities
Technology

UAE accelerates Agentic AI adoption with federal workshop involving 50 government entities

spsingh
Last updated: June 29, 2026 10:55 am
spsingh
Published: June 29, 2026
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More than 300 officials collaborate to transform 50% of federal services and operations within two years

Abu Dhabi: In line with the directives of President His Highness Sheikh Mohamed bin Zayed Al Nahyan, and following the announcement of a new government system to transform 50 percent of government sectors, services and operations into Agentic AI models within two years, the UAE Government has held a specialised workshop to accelerate implementation.

Organised by the Ministry of Cabinet Affairs in Dubai, the workshop brought together more than 300 participants from 50 federal entities. It aimed to launch implementation tracks for the new government system, activate services, operations and institutional support pathways, and map out services and processes in preparation for the deployment of Agentic AI models within a 90-day timeframe.

Driving government transformation

Mohammad bin Abdullah Al Gergawi, Minister of Cabinet Affairs and Chairman of the Agentic AI Project Executive Committee, said the initiative reflects the directives of His Highness Sheikh Mohammed bin Rashid Al Maktoum, Vice President and Prime Minister of the UAE and Ruler of Dubai, to accelerate AI adoption across all areas of government work.

He noted that Agentic AI represents an advanced phase in the evolution of government operations, enabling faster task execution, higher productivity and improved data-driven decision-making.

“The UAE is reinforcing its global leadership by developing flexible work models that harness the capabilities of Agentic AI,” he said.

Enhancing efficiency and capabilities

Al Gergawi added that the workshop aims to equip government teams with the skills needed to deploy AI tools effectively, supporting the UAE’s vision to build a more agile and future-ready government.

Operations and institutional support track

Maryam bint Ahmed Al Hammadi, Minister of State and Secretary-General of the Cabinet, and Head of the Operations and Institutional Support Track, said the initiative focuses on transforming government operations by removing barriers and enhancing efficiency.

She explained that work began by mapping operations across ministries and federal entities, identifying priority areas for AI transformation, and reviewing existing and upcoming applications to develop a comprehensive implementation plan.

The workshop identified 10 key operational areas, including human resources, procurement and contracts, financial and administrative affairs, legislative affairs, internal audit, digital transformation, technical support, communication, and facilities management.

Future government model

Mohamed Rashid bin Taliah, Assistant Minister of Cabinet Affairs for Government Knowledge Exchange and Head of the Services Track, presented the future government work model, which enables entities to prioritise services and processes for AI implementation to maximise impact on individuals and businesses.

He emphasised that government teams possess the expertise and innovative mindset required to successfully implement Agentic AI solutions.

Implementation framework

Participants discussed criteria for selecting priority operations, including transaction volume, service complexity, number of beneficiaries and readiness for digital transformation.

Each entity will select a specific service or operation for implementation within 90 days, following three phases: exploration, design and implementation planning.

Throughout the three-month period, progress will be monitored regularly to ensure targets are achieved, support is provided, and selected services and operations are successfully launched within the specified timeframe.

The initiative marks a significant step in advancing the UAE’s digital transformation agenda and strengthening its position as a global leader in innovative government practices.

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