The Silent Revolution: Inside Citi’s Massive Internal AI Deployment

Large companies often relegate artificial intelligence to side projects, with small teams testing tools and running pilots that struggle to gain widespread adoption. However, Citi has taken a different approach, integrating AI into daily operations by creating an internal workforce of about 4,000 employees who come from various roles within the organization.

Through its “AI Champions” and “AI Accelerators” programs, Citi has encouraged employees to participate in AI initiatives rather than keeping the technology limited to specialists. This has resulted in over 70% of Citi’s 182,000 global employees using firm-approved AI tools in some capacity.

Empowering Teams for AI Adoption

Instead of focusing solely on AI tools, Citi prioritized people by inviting employees to volunteer as AI Champions. These Champions received training, access to internal resources, and early versions of approved AI systems to support their colleagues in their respective teams.

By embedding support within teams, Citi aimed to bridge the gap between experimentation and everyday work, recognizing that the key to successful tool adoption lies in employees’ understanding of when and how to use them effectively.

Training played a crucial role in this process, with employees earning internal badges for completing courses or demonstrating how AI improved their tasks. This peer-driven approach facilitated faster AI adoption compared to top-down mandates.

Practical AI Integration for Everyday Tasks

Citi’s leadership framed the AI initiative as a response to scalability rather than novelty, leveraging AI tools to enhance efficiency across various operational areas such as document summarization, data analysis, and software development.

While Citi restricted employees to approved tools with defined data usage and output handling guidelines, this approach ensured a controlled risk posture while allowing for broader access to AI capabilities within the organization.

Lessons in Scaling AI

Citi’s program structure highlights a critical lesson for large enterprises looking to adopt AI: widespread adoption does not necessitate every employee becoming an expert but rather having enough individuals trained to apply AI responsibly and share knowledge with others.

By empowering employees from non-technical backgrounds to participate in AI initiatives, Citi signals that AI is integral to how work is performed, akin to traditional office tools like spreadsheets or presentation software.

While Citi’s approach has its limitations, such as sustaining interest and ensuring equitable support across teams, it exemplifies treating AI as infrastructure rather than innovation, focusing on removing friction from existing tasks rather than seeking transformational change.

Bottom-Up Approach to AI Progress

Citi’s experience challenges the conventional notion that AI adoption must originate from senior leadership, highlighting the importance of bottom-up energy from employees who volunteer to learn and teach AI capabilities.

As more companies transition from AI pilots to production, Citi’s model underscores the significance of empowering employees to feel confident in using existing tools effectively, driving progress through incremental team-based efforts.

(Image by Declan Sun)

For more insights: JPMorgan Chase views AI spending as essential infrastructure

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