How U.S. Department of Homeland Security uses AI

The DHS management directorate reports a pre deployment use case that converts plain text statements in Congressional reports into machine readable tasks that can be managed in Outlook, Jira or other project tracking software, and turns scanned financial tables into structured data. It corresponds to the commitment tracking step of oversight work: statements an overseer writes down become tasks that can be managed in project tracking software. Not yet live; no results published.

No outcome disclosed.

DHS publishes an annual AI use case inventory, updated in line with OMB's M-25-21 guidance, that a DHS AI Governance Board of senior officials and a Chief AI Officer govern. The 2025 inventory lists use cases separately for eleven components, from 1 at the Countering Weapons of Mass Destruction Office to 83 at Customs and Border Protection, together with a fuller downloadable spreadsheet and a public FAQ that explains how entries are added, consolidated or retired between annual updates. DHS does not publish a measured outcome from keeping the inventory.

No outcome disclosed.

Since December 2024 the DHS Executive Secretariat has used generative AI to summarise incoming letters when a new work package is created in its correspondence tracking system, so analysts can act on and assign requests faster; the summaries flow into the system that tracks correspondence and information requests. The department states a future aim of drafting responses to those requests. It is the intake and tracking half of answering an external request, run by a government body rather than a bank.

No outcome disclosed.