DXC Technology, a global technology services provider, is teaming up with Unicaja, one of Spain’s leading banks, to transform and modernise its banking operations.
As part of a new 10-year agreement, DXC will help Unicaja drive efficiency, boost productivity and enhance customer experience by sharing its expertise in technologies such as artificial intelligence (AI). While accelerating AI adoption to deliver highly personalised, omnichannel experiences, DXC will help Unicaja to prioritise secure banking systems aligned with evolving European regulations.
“Our collaboration with DXC Technology allows us to accelerate our transformation thanks to their expertise in industrialised processes, technological capabilities, and proven success in similar agreements,” explained Juan Medina, head of people, organisation, and legal at Unicaja. “This initiative equips the bank with new tools and capabilities that will support and optimise the work of our current teams, who will remain a vital part of this new model.”
The agreement supports Unicaja’s strategic plan for 2025 to 2027 to accelerate innovation through solutions that enhance customer service, product personalisation, and operational agility. Subject to regulatory approval, DXC will acquire FK2, a Unicaja Group company, and assume leadership of a specialised team with deep banking and technology expertise.
“This partnership further strengthens our global leadership in the banking sector, where the world’s leading financial institutions rely on our decades of experience and deep industry expertise,” added Alfonso Garcia, Managing Director of DXC Technology Iberia. “In Spain, we support all major banks in driving competitive advantage and navigating complex challenges. Our commitment is to deliver operational excellence and position Unicaja as a global benchmark for AI-driven business transformation.”
Unicaja and DXC will explore generative AI to automate document processing and routine tasks, while agentic AI and virtual assistants will enhance customer communication while reducing agent workload.
