Wells Fargo accelerates generative AI adoption with Google Cloud Apigee API Management

Wells Fargo implemented Google Cloud Apigee API Management to scale generative AI experimentation securely and efficiently across business units.

They built task-specific reusable APIs to streamline workflows such as customer service and underwriting processes with governance and operational rigor.

This approach enabled a 20% reduction in branch banker query resolution times and supported secure, compliant AI adoption at scale.

1. 01Wells Fargo needed to accelerate generative AI experimentation and integration without disruptive rewrites to existing systems.
2. 02The bank required secure and governed AI adoption across multiple business units.
3. 03They sought to improve innovation scalability while ensuring compliance in a highly regulated financial environment.

1. 01Wells Fargo used Apigee API Management to develop reusable, task-specific APIs that enable efficient model integration and experimentation.
2. 02Deployed retrieval-augmented generation (RAG)-based tools for customer-facing bank employees to improve query resolution speed.
3. 03Implemented governance features such as human-in-the-loop controls, risk monitoring, and fallback systems to meet security and regulatory requirements.

1. 01Achieved approximately 20% reduction in query resolution times for branch bankers, increasing productivity.
2. 02Improved scalability and governance of generative AI deployments across customer service and underwriting.
3. 03Enabled safe, compliant, and rapid generative AI adoption across various business units within Wells Fargo.

• Accelerated query resolution for bankers
• Enabled secure governed AI adoption
• Scaled generative AI across business units
• Built reusable task-specific APIs