For years, redundant, obsolete and trivial data (the ROT that accumulates at every agency), lived quietly in the back office as a records management concern. Although agencies are supposed to dispose of data on a schedule, many don’t because storage is cheap and “someone might need something in there one day”.
With the rise of Agentic AI, ROT is creeping out of the back office to the comptroller’s desk. AI agents retrieve and re-read data continuously, with every pass incurring a metered cost against an agency’s fixed appropriation. An agency could violate the Antideficiency Act, without anyone knowing until the bill arrives. Violations have to be reported to Congress, and penalties can range from reprimand to removal.
Eliminating ROT is no longer just a records management task; it’s a critical fiscal and legal control impacting any agency exploring agentic workflows.
In this session, you will learn:
- How Agentic AI interacts with agency data and drives consumption costs
- Why data quality and lifecycle management are critical to AI success
- The role of records management in supporting AI governance
- How to identify and eliminate ROT data across agency environments
- Approaches for creating a sustainable foundation for AI-powered workflows
