Exclusive: Citi moves into agentic AI
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Illustration: Natalie Peeples/Axios
Citi is rolling out a new internal AI platform that lets employees create agents, tapping into top models within one secure system that can scale those agents across the firm.
Why it matters: The AI race is playing out on Wall Street as much as it is in Silicon Valley, and banks are racing to offer the best AI models to employees without compromising on safety.
Driving the news: Citi's new platform, called Arc, acts as a centralized "operating system" for AI agents, CTO David Griffiths tells Axios.
- It lays the groundwork for the bank's biggest push into agentic AI, or the use of multiple autonomous agents to orchestrate and complete a task together. Arc will be rolled out to developers first, and there are plans to roll it out to the broader bank over time.
- 180,000 Citi employees were already using enterprise AI tools powered by top models on the back end, but Arc will link agents and use cases into one central location.
- That means employees and managers can monitor agent behavior and stop tasks if needed, which helps prevent agents from going rogue.
Zoom in: Griffiths says its agents can compile portfolio data, analyze broad market trends and test scenarios.
Zoom out: AI agents are everywhere, and businesses are racing to deploy them securely in the enterprise.
- Snowflake, the cloud-based data firm, says its platform — called Project SnowWork — can autonomously build pitch decks by pulling data from multiple sources, organizing it and drafting an accompanying email.
- Sycamore is an agentic AI operating system designed to build, deploy and orchestrate agents. Founded by former Atlassian CTO Sri Viswanath, the company raised $65 million in seed funding in March.
The bottom line: Industries are super focused on giving employees secure access to agentic AI.
