Wells Fargo has launched AI Teammate, an AI-powered tool embedded within its Advisor Gateway platform that helps financial advisers, client associates and support teams search for information, complete routine tasks and move through daily workflows faster. 

The tool, which went live July 15, grew out of development work that ran in parallel with Advisor Gateway itself, Evelyn Varner, chief product officer for the bank’s Wealth and Investment Management office, told FinAi News. 

“AI Teammate is delivered through Advisor Gateway — it’s your always-on companion, your way to supercharge Advisor Gateway with AI.” 

Initially, AI Teammate focuses on cutting the time advisers spend on high-frequency but low-complexity tasks: searching across systems, compiling documentation and answering process questions, Varner said. 

“We’re going literally from hours to … minutes to seconds in terms of getting responses to questions,” she said.  

The bank conducted what Varner called an “expansive day-in-the-life study” to identify where advisers were spending the most time before deciding where to point the tool. 

“In the short time since launch, thousands of prompts have been created and we will continue to measure usage metrics as the tool rolls out,” Varner said. 

Development 

The underlying infrastructure for AI Teammate was built by Wells Fargo’s in-house enterprise AI teams and the tool draws exclusively on internal data — product, process, policy and client information, she said. 

Varner declined to specify which large language models power the tool but confirmed that proprietary enterprise infrastructure forms its foundation. 

On the development side, she said that AI played a role in the build itself, helping generate first-draft UI components and reducing prototype work to hours instead of weeks 

Additional capabilities are in development. Varner said meeting preparation and summarization features are expected before yearend, with further personalization rolling out into 2027. 

The next phase will focus on helping advisers synthesize CRM notes, portfolio data and client goals ahead of conversations.  

“It’s really about making sure that we’re having value-add conversations with clients around what their financial goals and aspirations are,” Varner said. 

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