BBVA and OpenAI Strategic Collaboration for AI-Native Banking

BBVA and OpenAI Strategic Collaboration for AI-Native Banking

BBVA and OpenAI have entered into a strategic collaboration to integrate artificial intelligence across customer experiences, operations, software development, and employee workflows. This partnership aims to transform BBVA from a traditional financial institution into an AI-native bank that can proactively anticipate customer needs and personalize banking services at scale.

The Strategic Framework: "The Eight"

BBVA's AI transformation is guided by a roadmap called "The Eight," which focuses on redesigning banking end-to-end. Rather than treating AI as a standalone technology project, the bank is rethinking its operational layers across eight key areas:

  • Customer Experience: Redesigning how clients interact with financial services.
  • Commercial Banking: Enhancing business-facing services.
  • Risk Management: Improving how risk is analyzed and managed.
  • Operations: Automating and scaling execution.
  • Software Development: Accelerating the creation and deployment of banking software.
  • Employee Productivity: Increasing the efficiency of the day-to-day work of employees.

Scaling Enterprise AI Adoption

BBVA has scaled the deployment of ChatGPT Enterprise from an initial 3,000 employees in 2024 to over 100,000 employees globally. This makes BBVA one of the largest enterprise adopters of generative AI in the financial sector, with over 70% weekly active usage among deployed employees.

Governance and Enablement

To scale AI securely within a highly regulated environment, BBVA implemented a strategy based on three pillars: trust, governance, and structured learning.

  • Secure Access: The bank provided secure, enterprise-grade access to AI tools to prevent unauthorized experimentation with consumer-grade AI.
  • AI Champions and Wizards: BBVA established an organization-wide network of "AI champions" and advanced users known as "AI wizards" to lead workshops and identify high-value use cases.
  • Executive Leadership: 250 senior leaders, including the CEO and chairman, received specific training to ensure AI was established as a strategic priority.

Departmental Impact and Custom GPTs

Employees have created more than 20,000 custom GPTs, with approximately 4,000 used frequently. These tools have been applied to specialized workflows in several departments:

Credit Risk

The Credit Analysis Pro GPT extracts and analyzes unstructured data from annual reports, ESG disclosures, and media coverage, automating manual tasks and allowing analysts to focus on strategic analysis and ESG risk modeling.

Legal Services

The Retail Banking Legal Assistant GPT drafts responses to approximately 40,000 annual client-related legal inquiries from branch managers, reducing manual research time for a nine-person legal team.

Customer Experience

  • Mexico: A Client Experience Assistant GPT performs sentiment analysis on thousands of open-ended customer survey responses to recommend improvements.
  • Peru: An internal AI assistant has reduced average query handling times from 7.5 minutes to approximately 1 minute, representing an efficiency gain of roughly 80%.

Key Performance Metrics

  • Workforce Reach: 100,000 employees using ChatGPT Enterprise.
  • Efficiency Gains: Approximately 3 hours saved per employee per week.
  • Workflow Optimization: Up to 80% efficiency gains in specific workflows.
  • Leadership Engagement: 250 senior leaders trained.
  • Usage Rate: Over 70% weekly active usage.

Leadership Lessons for AI Transformation

BBVA's approach to AI integration provides several key takeaways for large-scale organizational transformation:

  • Business Transformation over Innovation: AI should be viewed as a redesign of the business model and operations, not just a tool.
  • Domain Expertise Integration: Combining frontier AI capabilities with deep industry expertise in risk and banking is essential.
  • C-Suite Buy-in: Early training for executives accelerates adoption across the organization.
  • Proactive Banking: The ultimate goal is to move from reactive services to a proactive, intelligent banking experience.

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