Generative Artificial Intelligence for Banking

One of the AI solutions with the greatest benefits for banking is generative AI. As the name suggests, it involves the use of advanced models (such as Large Language Models) that create new content, text, analysis, code, or recommendations based on financial and customer data.

In banking, it is used to automate knowledge, interaction, and documentation while maintaining regulatory compliance. Examples of platforms used in the sector include ChatGPT-type models, Microsoft enterprise solutions with Azure AI, and platforms like IBM Watson.

Main Use Cases

Intelligent Customer Service

• Personalized responses
• Virtual banking assistants
• Support for loans or cards
• Explanation of transactions

Real example: the virtual assistant “Erica” from Bank of America.

Document Automation

Generative AI can create or summarize:

• Regulatory reports
• Risk analysis
• Financial contracts
• Meeting minutes
• Compliance reports

Benefit: operational time reduction of up to 70–90%.

Financial Analysis and Advisory

• Generate investment reports
• Summarize portfolios
• Simulate credit scenarios
• Detect fraud patterns

Example: banks like JPMorgan Chase use AI for document analysis and compliance.

Internal Productivity

For employees:

• Intelligent search of internal policies
• Code generation
• Legal and regulatory support
• Automated training

Example: AI initiatives at BBVA for internal assistants.