AI Radar: Banks (Middle East edition)

Customer Experience is at the forefront of AI adoption in the Middle Eastern banking sector, as detailed in this report. The document examines how banks across the GCC are moving beyond isolated AI pilots to enterprise-scale deployments, fundamentally reshaping both customer-facing and internal operations. It outlines a three-stage maturity model, from targeted functional deployments to integrated workflows and, ultimately, to platform-led enterprise models. The report profiles leading banks and their AI initiatives, highlighting how these institutions are leveraging AI to automate workflows, enhance risk and compliance controls, and deliver more responsive, personalized services. A key theme is the shift from fragmented experimentation to infrastructure-led AI strategies. Banks are investing in centralized platforms, workflow engines, and robust compute environments, enabling consistent and scalable AI deployment across multiple business functions. This approach is reducing barriers to production-scale adoption and accelerating the integration of AI into core banking processes such as onboarding, compliance, risk management, and operational monitoring. The report also emphasizes the strategic alignment between bank-led AI transformation and regional digital infrastructure investments, which is enabling rapid progress. For CXOs, the analysis provides actionable guidance on building common data and workflow layers, prioritizing control-heavy processes, and measuring AI success by its impact on business execution. This resource is essential for banking leaders seeking to understand the evolving landscape of AI maturity and operational transformation in the GCC.