The Ministry of Human Assets and Emiratisation (MoHRE) has accomplished roughly 13 million transactions via automation and synthetic intelligence with out human intervention between the beginning of the yr and 10 December 2025.
The ministry mentioned the transactions spanned a variety of providers and mirror regular progress in integrating AI applied sciences throughout its operations. The initiative aligns with Part Two of the Zero Authorities Paperwork programme and helps the goals of the “We the UAE 2031” imaginative and prescient by enhancing digital service supply and labour market competitiveness.
MoHRE mentioned it has adopted a sustainable method to service growth by increasing using AI-driven options, strengthening digital infrastructure and enhancing workforce capabilities to handle good automation. That is supported by digital integration with authorities companions, enabling quicker processing, ease of doing enterprise and entry to providers on a 24-hour foundation.
As a part of these efforts, the ministry highlighted the efficiency of its AI-powered system for allocating work allow quotas to institutions. The system streamlines transactions by routinely assigning quotas based mostly on the operational standing and workforce wants of particular person companies, supporting progress and decreasing administrative burden.
AI within the UAE
In response to the ministry, the upgraded system displays its dedication to superior digital options that allow data-driven decision-making and handle challenges equivalent to processing delays, human error and inefficient information use.
From the start of the yr till October, the system granted round 900,000 work allow quotas to institutions and processed greater than 11 million transactions utilizing automation and AI.
The ministry mentioned human effort was lowered by 56 p.c, with roughly 175,000 requests automated out of 310,000 processed between February and October. The time required to overview and approve further quota requests that don’t require human intervention was lowered by as much as 99 p.c, slicing completion instances from 10 days to only one second.
Preliminary quotas are granted routinely via AI-based eligibility checks, whereas predictive fashions assess and approve some further quota requests. Instances that exceed automated thresholds are referred to the related committee for overview.
MoHRE mentioned the system contains self-learning capabilities that permit it to refine choices by analysing new information and operational patterns, enhancing accuracy and effectivity over time.
