A top-5 national bank in Spain wanted to pursue AI but lacked a coherent strategy for where to invest.
With significant capital at stake and no clear framework for evaluating which AI use cases to prioritize, the bank risked misallocating resources on low-impact pilots while missing transformative opportunities. Without strategic alignment across data infrastructure, governance, people, and ethics, scattered AI investments would fail to generate meaningful ROI or competitive differentiation.
Deloitte delivered a five-pillar AI strategy covering Strategy, Governance, Data & Technology, People, and Ethics & Regulations, plus stakeholder workshops generating 250+ use cases, a weighted prioritization matrix, business case development, four production MVPs, and a vendor-agnostic microservices architecture for future deployment.
Stakeholder workshops generated more than 250 AI use cases across the bank, then ranked using a weighted prioritization matrix tied to the client’s strategic objectives.
Four MVP use cases were selected, scoped, and developed in phase one, three additional MVPs were then initiated, with the original four moving into production scaling.
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