U.S. Bank is weaving AI into nearly every touchpoint it has with small business customers, from the moment a client calls into a service center to the back-end processes that help underwriters decide whether to approve a loan. 

The bank’s push comes as three-quarters of small business owners report having adopted AI in day-to-day operations, and 68% adopters say their businesses are growing, according to U.S. Bank’s latest SMB survey.  

With inflation, high energy costs and tight access to capital weighing on small businesses, the bank is betting that AI-powered tools can help them, Shruti Patel, U.S. Bank’s chief product officer for business banking, told FinAi News.

“Small businesses wear many hats,” Patel said. “Anything that helps them manage cash flow, serve customers more efficiently and save money is something we are absolutely prioritizing.” 

The 5 top areas where AI is being deployed by U.S. Bank are: 

1. Customer servicing 

U.S. Bank has begun rolling out generative AI in its customer operations centers, equipping service representatives with AI-powered tools that access relevant account information in real time when a client calls in, Patel said. 

The technology has drastically cut resolution cycle times by giving reps immediate access to a customer’s history and relationship with the bank, enabling more accurate and faster responses, she said. 

2. Smart Assistant chatbot 

The bank’s flagship virtual assistant, U.S. Bank Smart Assistant, uses advanced machine learning and conversational generative AI to handle customer queries, ranging from payment transfers to account information and card controls, Patel said. 

The tool logs 2.5 million interactions a month, with the number of clients using it up 27% year over year and total actions completed through the assistant up 40% over the same period — a sign that customers are turning to the bot for an expanding range of tasks, she said. 

3. Personalization

When small business customers visit the bank’s website or browse product offerings, U.S. Bank uses AI to provide personalized marketing and product recommendations, Patel said. 

The initiative has driven measurable increases in click-through rates, enabling more targeted outreach without added human effort, she said. 

4. Fraud detection 

With millions of money movement transactions processed each year — spanning ACH, wire, cross-border payments and card rails — fraud detection is among the bank’s highest-stakes AI applications, Patel said. 

U.S. Bank is using AI models to flag anomalies and enable early fraud detection, helping to protect money for small business customers that rely on the bank as a custodian of their cash flows, she said. 

5. Lending operations 

U.S. Bank has deployed AI inside its underwriting and loan-spreading workflows, automating document retrieval, synthesis and verification for both new and existing borrowers, Patel said. 
For new clients, the tools assist with know your customer and know your business checks; for existing clients, they continuously monitor cash flow positions, she said. 

AI has helped cut loan processing times by 30% to 40%, a critical improvement for small businesses operating on compressed margins and urgent capital needs, Patel added. 

U.S. Bank is also evaluating AI’s role in payments routing, with the bank’s Money Hub platform potentially evolving to make autonomous, cost-optimized payment decisions — a development Patel said could materialize within 12 to 18 months. 

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