
- Key insight: Citi is putting most of its employees through prompt training in the hopes of improving productivity.
- What's at stake: Poor prompting risks degraded competitiveness and slower operational outcomes.
- Forward look: Prepare for expanded agentic AI rollouts and governance decisions across financial firms.
Source: Bullets generated by AI with editorial review.
In an internal memo shared with American Banker, Tim Ryan,
"Just as the right question in a client pitch can reveal clarity and create advantage, a well-crafted prompt can accelerate your work, surface insights and amplify your impact," Ryan and Selva said. The memo was sent to 175,000 employees in 80 locations on Tuesday morning.
So far this year,
The new mandatory training is called, "Asking Smart Questions - Prompting like a Pro." Employees have 60 days to complete it. It was built using a platform that tailors the learning experience to the user's existing knowledge. Experts can complete it in under 10 minutes, while beginners take about 30 minutes, the bank said.
"As colleagues learn to use AI, there is a natural process of testing how to write prompts to produce the best results," Peter Fox, head of learning at
"The output of AI is going to be only as good as the prompt and the system prompt," said Mike Gaultieri, vice president and principal analyst at Forrester Research, in a recent interview about
"That output could be very wordy or it could be too succinct," he said. "And a lot of this has to do with the prompt and the system prompt – what gets added to the prompt the user is using. Generative AI "is still very, very immature in terms of people knowing how to use this stuff."
Alex Sion, who is currently financial services lead at Blend and formerly was general manager of mobile banking at JPMorganChase and managing director of
"There's an old saying: 'Judge a person by their questions rather than by their answers,'" Sion told American Banker. "Generative AI makes that maxim more relevant than ever. When you're interacting with a system that can tap into vast stores of human knowledge, the difference between an average and an exceptional outcome lies in the precision, creativity and structure of the questions." The barrier isn't the machine's capability — it's the human's ability to engage with it thoughtfully, he said.
In addition to prompting, "you have to focus on improving and truly educating teams on the underlying data sources and the AI workflows built around them," said Brad Leimer, executive leader of AI and fintech partnerships at Darrery Capital, who will be a guest on the next
More than 175,000 employees have access to
Last week,
In July,
"We're giving our people smarter, faster and more connected tools so they can focus less on manual tasks and more on the big ideas that drive our business forward," said Chief Technology Officer David Griffiths of the agentic AI rollout.
"We are exiting on a compressed timeline, people where reskilling, based on our experience, is not a viable path for the skills we need," CEO Julie Sweet said in the company's second quarter earnings call.
Sion pointed out that technical skills can be taught, but an AI-first mindset is harder to instill.
"Successful AI users tend to share certain traits: curiosity, creativity and critical reasoning," Sion said. "They approach problems with a 'life-hacking' mentality — looking for better, smarter and more efficient ways of doing things."