UAE mandates that half of government transactions shift to intelligent agents, requiring a control center and continuous human auditing

The government of the United Arab Emirates will place half of its public services under the management of AI agents within twenty-four months, in a shift that moves administrative work from traditional digital transactions to self-operating systems. The announcement, made by the Minister of State for Artificial Intelligence, Digital Economy and Remote Work Applications, Omar Sultan Al-Ulama, during the “AI Agent Trust Test” session at the Global Future Leaders meetings in Dubai, went beyond the timeline target; it also unveiled the creation of an “AI Agent Control Center” that connects all government agents in a unified oversight network that records decision pathways and subjects them to continuous automated and human auditing.

Central oversight creates a clear boundary between automating routine procedures and granting software decisive authority over critical decisions.The announced operational design prevents handing machines any authority that directly affects individuals’ destinies, opportunities or livelihoods, deeming that a red line that cannot be delegated. In contrast, the system opens the door widely for agents to carry out low-risk proactive transactions, such as automatically renewing passports for citizens and residents or managing limited financial payments, provided that every procedural step remains documented, traceable and accountable within the control center.

We see in this risk-level distinction a radical reshaping of the relationship between institutions and technology solution developers; according to the government narrative, artificial intelligence must earn trust before its authority is expanded, and regaining lost trust would be far more difficult than its rapid erosion. Consequently, contracting and operational standards are moving toward holding developer companies directly accountable for the social and human impact of their systems, rather than relying solely on abstract software competence tests. The same stance extends to the international arena, where the UAE’s tech leadership warned of the danger of delaying the establishment of binding frameworks for self-operating systems, especially regarding lethal weapons that still lack a global consensus preventing machines from deciding to end human lives.

This governmental shift reshapes engineering competency requirements across Gulf markets and the wider region.When building for public entities that are becoming the largest purchasers of smart agents, merely providing models capable of completing tasks or generating code commands will not suffice; technical teams in the Gulf, Egypt and the region must integrate tracking layers, document decision chains, and ensure compliance with central control center regulations. This transition affects the nature of jobs and skills demanded by tech companies; demand rises for audit engineering, designing human-intervention interfaces, and building real-time oversight mechanisms, while closed solutions that cannot provide transparent decision logs lose eligibility for public contracts and projects.

Proactive action before model capabilities expand embodies the core of the new organizational philosophy, avoiding the moment when the system loses control of its assets and data without realising it, much like someone who discovers too late that their trailer and load have been lost on the road due to a lack of prior alerts.Building digital trust starts with strict design and defined permissions before deploying an agent in the field.Thus these standards set clear rules for the future of service delivery, where decision-path integrity becomes a prerequisite for any potential operational efficiencies.