Case Study: AI and Cloud Transformation at Citi

Citigroup, a leading global financial services firm, embarked on a multi-year technology partnership with Google Cloud to modernize its infrastructure and leverage artificial intelligence (AI) capabilities. This initiative is part of Citi’s broader strategy to enhance operational efficiency, streamline workflows, and improve customer and employee experiences. The collaboration focuses on migrating workloads to Google Cloud Platform (GCP), implementing advanced AI tools, and addressing legacy system challenges to drive digital transformation.

Key Takeaways

• Citi’s partnership with Google Cloud integrates Vertex AI for generative AI capabilities and high-performance computing for trading operations.
• Migration to GCP aims to reduce data center reliance, streamline workflows, and cut application migration time significantly.
• AI tools like Citi Assist and Citi Stylus enhance employee productivity by automating routine tasks and enabling better document management.
• AI-driven personalization and enhanced digital services improve client interactions and operational agility.
• Data quality and legacy system issues remain significant barriers, requiring ongoing investment and restructuring.

Approach

Citi’s transformation strategy is built on three primary pillars: infrastructure modernization, AI integration, and workforce enablement. The migration of workloads and applications to GCP enhances operational efficiency and scalability, while Vertex AI provides advanced generative AI capabilities to support customer service, document processing, and developer tools. AI tools like Citi Assist and Citi Stylus further empower employees by simplifying daily workflows and increasing productivity. This comprehensive approach underscores Citi’s commitment to leveraging technology for enhanced client services and operational agility.

Implementation

The implementation phase of Citi’s transformation began with cloud migration, transitioning several workloads to GCP to reduce reliance on physical data centers and enable scalable, high-performance computing for trading operations. Citi retired over 450 legacy applications in 2024 alone, marking a significant step toward streamlining its technology stack. AI tools, including Citi Assist and Citi Stylus, were deployed to approximately 140,000 employees across eight countries, providing powerful capabilities for navigating policies, managing documents, and increasing efficiency. Vertex AI facilitated personalized messaging and customer insights, while ensuring compliance in marketing materials. Security enhancements, such as GCP’s Confidential Computing and compliance certifications, addressed Citi’s regulatory requirements and strengthened the safety of its operations.

Results

The partnership with Google Cloud has yielded significant operational and strategic benefits for Citi. Application migration time was reduced from seven weeks to two weeks, significantly improving efficiency. High-performance computing capabilities now allow for millions of daily calculations in trading operations, bolstering Citi’s markets business. AI tools simplified workflows across departments, increasing employee productivity, while cloud migration reduced data center costs and enhanced public cloud processes. Additionally, AI-driven personalization and improved digital services strengthened customer engagement, reinforcing Citi’s position as a leader in financial services transformation.

Challenges and Barriers

Citi faces several challenges as it navigates its transformation journey. The extensive reliance on legacy systems, despite ongoing consolidation efforts, continues to pose significant obstacles. Data quality issues, including fragmented datasets and reliance on Excel spreadsheets, hinder the scalability of AI solutions. Regulatory compliance in the heavily regulated financial industry adds layers of complexity to both AI implementation and cloud adoption. Finally, fostering a cultural shift to embrace AI tools and workflows requires ongoing training and a focus on change management to align staff with the new operational paradigm.

Future Outlook

Looking ahead, Citi plans to expand its use of AI by refining existing tools and exploring new applications to further enhance productivity and customer experiences. The bank is investing in data modernization efforts, including the development of centralized data repositories and data lakes, to support more robust AI capabilities. Scaling AI tools to additional markets and integrating them across all operational areas are key priorities. Citi also remains committed to ensuring regulatory compliance, emphasizing the safe and ethical use of AI.

To get the latest AI transformation case studies straight to your inbox, subscribe to AI in Action by AIX — your weekly newsletter dedicated to the exploration of AI adoption in business.

Elevate your understanding of AI transformation. Browse AI adoption case studies searchable by company, industry, use case, and technology.

Sources:
Citigroup signs multi-year contract for AI and cloud computing with Google Cloud
Citigroup rolls out artificial intelligence tools for employees in eight countries
How Citi CMO Alex Craddock Balances AI’s Power With Human Creativity
Why Citi has Tapped Google Cloud for Tech Transformation
Citi accused of attempting to implement AI on the back of Excel spreadsheets

---

Let’s talk

Whether you’re looking for expert guidance on AI transformation or want to share your AI knowledge with others, our network is the place for you. Let’s work together to build a brighter future powered by AI.

---