• Citi launches AskWealth AI assistant and Advisor Insights dashboard for wealth
  
  
• Tools were built in six months by in-house data and tech teams
  
  
• AskWealth runs on Llama now and will transition to Gemini
  
  
• Bonanno says platforms will save hours for advisors and bankers
  
  
• Generative capability will be added to Advisor Insights as it scales
  
  
• Bank accelerates broader modernization after past data quality penalties
  
  
• 30,000 developers are using AI coding assistants across Citi
  
  
• Leadership targets expansion into fraud prevention and markets operations
  
  
• Emphasis on human oversight and governance alongside faster workflows
  
  
• Wall Street races to industrialize AI while managing model risk

Citi has deployed two artificial intelligence platforms in its wealth advisory business, aiming to speed client service and tighten execution after a rapid six-month build.

The bank said Monday that AskWealth, a generative AI assistant, will equip advisory teams with research and market context to answer client questions quickly, while a machine-learning dashboard called Advisor Insights enters pilot to provide real-time market updates.

“These platforms will save hours of time for our advisors, bankers and service teams while reinforcing for clients the personal and high-touch experience that is a tradition at our firm,” said Joe Bonanno, head of data, analytics and innovation at Citi.

AskWealth currently runs on Meta’s Llama model suite and will shift to Google’s Gemini in the coming months, Bonanno said, adding that generative capability will be embedded into Advisor Insights as it matures. 

“We are already advancing work on an LLM backbone that will take the platform to the next level of intelligence and personalization,” he said.

The rollout underscores Citi’s push to convert AI proofs of concept into production at scale. 

Earlier this year, CEO Jane Fraser highlighted a surge in adoption of coding assistants among roughly 30,000 developers as part of a multiyear modernization program. 

That effort follows regulatory penalties tied to legacy data quality gaps and has channeled billions into rebuilding core platforms.

Citi executives have pointed to tangible productivity gains in software development, knowledge management and front-office workflows. 

The new wealth tools extend that playbook to client-facing advisory, where speed and consistency are increasingly central to competitive differentiation.

In an internal memo, senior leaders framed the AI agenda as a cross-firm priority. 

“We see opportunities to expand Gen AI across other areas of the firm such as fraud prevention in U.S. Personal Banking, confirmation matching in Markets and more,” the management team wrote. “We’re adopting Gen AI at super speed and partnering with some of the best technology companies in the world to make it happen.”

Citi said the platforms were built jointly by its data, analytics and innovation unit alongside wealth technology and experience teams, a structure meant to shorten feedback loops between model builders, engineers and end users. 

The bank added that advisor workflows will retain human oversight and established governance as models evolve.

The stakes are high across Wall Street as firms race to industrialize AI while managing model risk, data lineage and client privacy. 

Citi’s latest launch signals confidence that curated models and tighter integration can deliver immediate wins in time savings and client responsiveness, even as the bank continues hardening controls and retraining staff.