National Bank of Bahrain brings in ARRAY for its AI center: banks would rather rent engineers than wait

By News of Bahrain · November 1, 2026.

The National Bank of Bahrain (NBB) has partnered with ARRAY Innovation, which calls itself Bahrain's national AI and data champion, to create an AI Center of Excellence. The center's goal is to speed up the AI@NBB program and deliver priority artificial intelligence projects.

According to the published information, the center will deploy "ARRAY AI Squads," dedicated teams that will work alongside the bank's core AI team. They will cover the full cycle: initial requirements, prototyping, integration, testing and deployment.

The bank says it will retain ownership of its AI strategy, priorities, governance and business outcomes. ARRAY will provide specialized engineering and technical resources. NBB staff from the business and technology units will also work side by side with ARRAY's engineers to build in-house capabilities.

The agreement builds on an existing relationship. According to the report, the two companies have already worked together on AI initiatives, digital transformation in retail banking and automation. At Gateway Gulf 2024, they formalized a partnership to bring natural language processing (NLP, techniques that let machines understand text) and generative AI to the bank.

The report gives no investment figures, timelines or specific projects, and no performance metrics. What it does offer are statements from executives. Group CTO Razi Amin talks about strengthening the bank's ability to deliver while maintaining security and resilience. Ali Ghuloom, who leads the AI agenda, says the goal is to build AI into operations rather than pursue isolated initiatives, with "measurable business value."

**Our take.** The partnership itself matters less than what it reveals about banking's real bottleneck. The constraint is not access to models, which are getting cheaper and more abundant. It is the ability to put them into production inside legacy systems while meeting strict compliance requirements. That is why the mixed-squad approach makes sense. The bank outsources the engineering but keeps the judgment in-house, and it avoids the classic pattern of "endless pilots" that never become operational.

The model carries risks worth watching. If knowledge transfer really happens, NBB will end up with more capable in-house teams. If it does not, the bank will depend on a vendor to maintain whatever gets built. That is the metric to watch, and the press release does not provide it.

Across the financial sector, AI is mainly putting pressure on administrative and back-office work, while judgment, risk and client relationships are becoming more important. A bank that trains its own staff alongside outside engineers is, at least on paper, betting on reskilling rather than just replacement. In the short term, the transition will be uneven, and some roles will be cut. In the long term, institutions that learn to integrate AI safely and measurably are part of the path toward cheaper, more accessible services.

For now, this is a well-structured statement of intent. Its value will become clear once projects are in production and there are results to measure.