Santander gives AI access to 200,000 staff worldwide

Santander has rolled out generative AI and productivity tools to roughly 200,000 employees across its global operations. The deployment covers branch staff, contact centre teams and back‑office functions and follows a period of pilot tests in specific teams.

Employees can use a mix of internally developed applications and licensed third‑party models to draft emails, summarise customer conversations, extract information from documents and automate routine checks. The tools are integrated into existing workflows and productivity software through corporate accounts with central monitoring.

The bank reports the tools are shortening turnaround times on routine processes and freeing staff to focus on higher‑value work. Early use in lending and customer service has reduced the time needed to prepare reports and reply to client queries, while operations teams report faster processing of standard documentation.

Rollout timing differed by country and business unit as the bank aligned deployments with local data protection rules and operational requirements. Access is monitored centrally to measure outcomes and identify where further training or adjustments are needed.

Santander has put governance and risk controls in place to limit misuse of customer data and to ensure human oversight for decisions affecting customers. Staff must follow guidance on what information can be entered into AI tools. The bank has expanded training programmes and assigned internal audit and compliance teams to review AI use against regulatory requirements.

The bank is tracking metrics including time saved per task, error rates, customer response times and staff satisfaction to build evidence for future rollouts. Executives say the programme focuses on practical productivity improvements rather than full automation.

Santander operates across Europe and Latin America and is testing how AI can work in multiple languages and regulatory environments. The bank plans iterative updates to tools based on user feedback and operational results. The rollout builds on earlier investments in cloud adoption and automation and reflects a phased approach driven by the size and diversity of its global workforce.