Citibank Secured Patent for AI Reporting Tool

The U.S. Patent and Trademark Office issued a patent for a system designed to draft suspicious activity reports automatically.

Updated on Oct. 14, 2026 in Artificial Intelligence

Citibank Secured Patent for AI Reporting Tool

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On September 22, 2026, the U.S. Patent and Trademark Office granted Citibank a patent for an artificial intelligence system that drafts suspicious activity reports. The technology aims to reduce human error and save time when generating reports for the U.S. Treasury Department.

Why it matters

The system addresses the inefficiency of manual report filing, noting that current standards show only 4% of suspicious activity reports result in law enforcement follow-up. By automating the process, the bank intends to streamline operations and minimize the burden of administrative tasks.

The system processes transaction data from customer devices and internal databases through a prompt generator. It then instructs a large language model to produce machine-readable reports for regulatory compliance.

The players

Citibank

This major global financial services firm is headquartered in New York and serves as the primary entity behind the new patent.

U.S. Patent and Trademark Office

This federal agency is responsible for granting patents and registering trademarks in the United States.

U.S. Treasury Department

This executive department manages federal revenue and enforces finance-related regulations, including those concerning suspicious activity reporting.

The details

Developed by a team including five inventors based in Irving, Texas, the system required a 666-day application process. It leverages AI to handle the labor-intensive drafting duties traditionally performed by bank staff.

Citibank filed the initial patent application in November 2024.
The U.S. Patent and Trademark Office issued the patent on September 22, 2026.

The Tech Race

This development highlights the ongoing shift toward automating regulatory compliance through large language models. The move positions the firm to compete with other financial institutions seeking to replace legacy report-writing systems with efficient AI tools.

The transition to AI-generated reports is designed to improve administrative accuracy, potentially leading to faster processing of internal banking documents. Customers are unlikely to notice direct changes, though the technology may improve how the bank manages regulatory obligations.

The takeaway

Financial institutions are increasingly turning to generative AI to handle high-volume compliance tasks that historically required significant manual labor. Implementing these systems allows banks to focus human resources on cases that have a higher statistical probability of requiring actual law enforcement review.