Citigroup uses AI to cut account opening times from 75 minutes to 15, transforming operations

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Citigroup is deploying artificial intelligence to dramatically speed up account openings, slashing document review times from 75 minutes to just 15 minutes. The bank's head of technology, Tim Ryan, revealed AI is also helping retire legacy software systems and automate coding as part of a broader push to boost productivity and reduce reliance on external contractors.

Citigroup Slashes Account Opening Times Using Artificial Intelligence

Citigroup is leveraging artificial intelligence to speed up client account openings and modernize its technology infrastructure, according to the bank's head of technology, Tim Ryan

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. The deployment marks a significant shift as U.S. banks embrace AI to boost productivity amid the biggest technological upheaval to the world economy since the internet

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. An AI-powered system to process documents has reduced the time required for document review before opening an account in the U.S. for the services division from 75 minutes to just 15 minutes

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. This dramatic reduction demonstrates how AI tools can enhance operational efficiency in banking operations that traditionally required extensive manual review.

Source: PYMNTS

Source: PYMNTS

AI Helps Retire Legacy Software Systems and Automate Coding

"We still have legacy systems, but after the tech investments we've made, we are in a much better place," Tim Ryan said in an interview

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. AI is enabling the bank to migrate data from legacy systems, automate coding, and test more efficiently and faster. The technology is transforming tasks that once took hours into minutes, with more than 182,000 Citi employees in 84 countries using the bank's AI tools as of the end of 2025

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. Colleagues have input more than 6.5 million prompts following the rollout of prompt training across the organization. This widespread adoption signals how financial institutions are embedding AI into their operational core, moving beyond experimental pilots into critical business processes.

Source: ET

Source: ET

Strategic Focus on Client and Employee Onboarding Processes

Citigroup is systematically choosing critical internal processes for review and automation, with client and employee onboarding among the first 50 processes targeted

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. The bank is also applying AI to know your customer policies, which are essential for compliance and risk management controls

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. This strategic approach addresses regulatory requirements while improving customer experience. The lender has sharply increased its investments in technology over the last five years to comply with regulatory requests, operating under two consent orders issued in 2020 by the Federal Reserve and the Office of the Comptroller of the Currency that required the bank to increase risk management controls and fix regulatory data inaccuracies and governance

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Source: Reuters

Source: Reuters

Reducing Reliance on External Contractors While Building Tech Workforce

Tim Ryan, who joined Citigroup from PwC less than two years ago, is revamping the tech division to reduce reliance on external contractors and build internal capabilities

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. A year ago, IT contractors made up around 50% of Citi's technology workforce, and the bank planned to reduce that to 20%. The bank is now "halfway through" this plan, Ryan confirmed

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. The bank has hired more software engineers and expanded its tech workforce to around 50,000 people as it works to develop and deploy AI tools consistently across the company

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. This shift toward internal staff reflects the bank's commitment to maintaining control over AI development and deployment while building institutional knowledge.

Broader Industry Implications for Financial Institutions

The move signals how banks are using autonomous AI tools across multiple functions, from preparing client materials to modeling financial scenarios and improving fraud detection

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. Financial institutions are investing more aggressively in AI, behavioral analytics, and cloud infrastructure to keep pace with increasingly sophisticated forms of fraud and compliance challenges. Agentic AI is moving beyond experimental pilots into the operational core of financial institutions, embedding into compliance, treasury, risk, and payments infrastructure. For Citigroup, the integration of AI into software testing and data migration processes represents a fundamental transformation in how the bank manages technology modernization while meeting stringent regulatory requirements. As banks continue to face pressure to improve efficiency while managing costs, the success of Citigroup's AI implementation could serve as a template for the industry's digital transformation efforts.

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