Fargo Handled More Than 200 Million Requests Without Sending Customer Data to an LLM

A production-grade generative AI assistant that handled 245.4 million interactions in 2024 alone, more than doubling its original forecast and it did so without ever sending sensitive customer data to a language model.
Not a pilot. Not a proof of concept. A production-grade generative AI assistant that handled 245.4 million interactions in 2024 alone, more than doubling its original forecast and it did so without ever sending sensitive customer data to a language model. Most banks are still running internal trials and whiteboarding risk scenarios. Wells Fargo built Fargo, rolled it out inside the app, and scaled it to handle everyday banking tasks via voice and text: bill pay, transfers, transaction lookups, account questions. The tool averages multiple interactions per session, and usage has exploded: from 21.3 million interactions in 2023 to 245.4 million in 2024, totaling 336 million since launch. Fargo works not because of a flashy model, but because of architecture. Customer speech is transcri
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Anshika Mathews
Anshika is the Senior Content Strategist for AIM Research. She holds a keen interest in technology and related policy-making and its impact on society. She can be reached at anshika.mathews@aimresearch.co
25 July 2025 | 583 Park Avenue, New York
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