The UAE is advancing its agentic AI initiative with a workshop that kicked off the strategic government workstream, aiming to convert about half of government operations, services, and tasks into agentic AI-driven models within two years.

Officials were briefed on implementation timelines, task classification, and mechanisms for federal entities to collaborate while reducing duplication.

Over 100 federal officials attended the workshop, signaling broad governmental engagement as the strategic government workstream begins.

Seven guiding pillars shape the program: strategy and projects, foresight and strategic intelligence, policies, structures and governance, government performance, global competitiveness, and innovation.

The program aims to improve governance and competitiveness by deploying agentic AI across federal operations in line with the UAE’s digital transformation goals.

Organized by the National Committee for the Agentic AI Project, the initiative embeds AI into federal operations to enhance policy formulation, foresight, and decision-making under Government 4.0.

The development sits within the UAE’s broader innovation and governance goals, though specific AI technologies or pilot programs are not detailed.

The report cites ANI/WAM as the source, noting syndicated content.

Seven pillars structure the program, including strategy and projects, foresight and strategic intelligence, policies, governance, government performance, global competitiveness, and innovation in government work.

The project encompasses seven key areas: strategy and projects, foresight, policies, governance, government performance, global competitiveness, and innovation in government work.

The initiative will integrate AI into federal operations to support policy development, future planning, and decision-making under the UAE Government 4.0 framework.

Under the Government 4.0 framework, the strategic government workstream focuses on embedding AI into federal operations to improve policy formulation, foresight, and decision-making.