Organization

How U.S. Immigration and Customs Enforcement uses AI

4 public AI deployments across 5 use cases, United States. Every number is quoted from its source.

Documented AI deployments

Use case: AI for recruitment screening and interview scheduling

U.S. Immigration and Customs Enforcement

United States · Government and public sector · 2026

ProductionGrade B

ICE uses a generative AI tool, based on OpenAI's GPT-4, that compares each candidate's resume with the job requirements and returns a numerical score, a colour coded scoring group, related experience and missing experience, with a separate group for resumes it could not score. The aim is to apply the same criteria to every resume and shorten time to hire; human reviewed resumes are compared with the tool's output for validation. DHS classifies it as high impact and lists its impact assessment, independent review, monitoring and appeal process as still in progress.

No outcome disclosed.

Use case: AI for immigration and visa applications, from applicant questions to case preparation

U.S. Immigration and Customs Enforcement (Student and Exchange Visitor Program)

United States · Government and public sector · 2025

AnnouncedGrade B

The Student and Exchange Visitor Program response center, which serves international students and school officials, is preparing SID (SEVIS Interactive Dialog), a voice assistant that answers routine caller questions through a deterministic question and answer workflow. When it cannot answer, it turns the caller over to an agent in the response center and creates a ticket with a caller transcript to reduce the burden on the agent. Separately, it captures the interaction and sends it through an API to the program's automated management system (SEVPAMS).

No outcome disclosed.

Use case: AI for security alert triage and investigation in the SOC

U.S. Immigration and Customs Enforcement

United States · Government and public sector · 2024

ProductionGrade B

ICE reports in the 2025 federal AI use case inventory that its security operations centre uses an AI Assisted Compromise Email Detector (AACED) to review a collection of emails exchanged with Microsoft under Emergency Directive 24-02. Named entity recognition flags personal data and keywords, and a chat interface lets analysts ask questions with an email as context, so they can find indicators of compromise faster. This was a review of a fixed set of emails tied to one directive rather than ongoing alert triage, and the inventory classifies it as classical machine learning rather than an agent, so it is a partial fit for this use case. The inventory lists it as deployed since June 2024 and gives no measured result.

No outcome disclosed.

Use case: AI for supplier invoice processing in accounts payable, AI document intelligence for unstructured forms and documents

U.S. Immigration and Customs Enforcement

United States · Government and public sector · 2019

ProductionGrade B

Business units at ICE, part of the Department of Homeland Security, use an intelligent document processing platform (UiPath Suite and Azure AI Document Intelligence) with OCR and machine learning models to verify, extract and classify information from forms, automating repeatable work such as invoice processing and form entry validation. The agency lists it in operation since 2019 and says it saves staff significant time while improving data quality. No figures are published.

No outcome disclosed.