HSA Group launches enterprise AI Lab to scale productivity drive

The UAE-based conglomerate said its new AI Lab will pursue 38 priority use cases identified from an initial pool of 229 across its 70

Brightly lit modern conference room with an oval wooden table and black chairs, offering a panoramic view through floor-to-ceiling windows of a green corporate campus with several office buildings, trees, paths, and a pond under a sunny sky

HSA Group, the Dubai-headquartered conglomerate with operations spanning manufacturing, services and commercial industries across the Middle East, Asia and beyond, has launched what it calls the HSA AI Lab: an enterprise-wide function tasked with identifying, developing and scaling artificial intelligence applications across its businesses.

The initiative follows what the company describes as a structured discovery exercise, during which more than 229 potential AI use cases were catalogued across the group. That long list was subsequently filtered to 38 priority opportunities, selected on the basis of projected business impact and implementation feasibility. More than 40 senior leaders from across HSA's divisions participated in a two-day working session to move the shortlisted ideas into active development.

Structure and scope

The Lab is co-led by Mohamed Nabil Hayel Saeed and Theo Breward, who will be responsible for strategy, execution and engagement with individual business units. Four workstreams have been defined: building AI capability across the workforce, enabling AI-powered automation, developing integrated AI systems, and exploring entirely new AI-enabled business models. Each business unit and function will lead its own AI initiatives, with the Lab providing governance, expertise and a framework of responsible AI principles.

Nabil Hayel Saeed Anam, Managing Director and Regional Chairman of HSA Group in Yemen, said the ambition is not exploratory. "Our ambition is not simply to explore AI, but to turn it into measurable impact. We will use it to increase productivity, improve decision-making, strengthen our businesses and empower our people."

HSA said the Lab will work with external AI companies, technology providers and independent specialists, though no vendor partnerships were named in the announcement.

Market context

Large conglomerates in the Gulf Cooperation Council region have accelerated enterprise AI programmes over the past two years, partly driven by national digitalisation strategies in Saudi Arabia, the UAE and beyond. HSA, with more than 35,000 employees across 70-plus subsidiaries, represents a substantial deployment surface: even incremental productivity gains at that scale can generate meaningful financial returns, which helps explain why the structured opportunity-assessment approach was adopted ahead of Lab launch.

The approach HSA describes, prioritising a defined shortlist from a broader scan and then embedding governance at the centre, mirrors the operating model adopted by several large professional-services firms and European industrial conglomerates as they have moved AI pilots into production. The critical variable in such programmes is typically the speed at which individual business units can move from pilot to scaled deployment, and whether central governance adds velocity or friction.

Regulatory considerations

HSA operates across markets with divergent AI regulatory postures. The UAE's AI Strategy 2031 encourages rapid adoption, while other jurisdictions in the group's footprint, including EU-adjacent markets such as the UK, will be subject to the EU AI Act's obligations as they phase in from 2026 to 2027. The Lab's stated emphasis on responsible AI principles and ethical deployment suggests the group is aware of this multi-jurisdictional compliance burden, though no specific standards or certifications were cited in the announcement.

No financial commitment, technology vendor names, or specific productivity targets were disclosed. Investors and partners will be looking for named use cases entering production and measurable outcomes as the clearest near-term indicators of whether the Lab moves beyond an organisational framework into demonstrable business impact.