Private Artificial Intelligence (AI) Tech Hub (PAiTH)
Description
USCIS staff currently lack access to AI tools that can accelerate routine knowledge work while maintaining the security, compliance, and privacy requirements specific to USCIS operations. Existing commercial AI solutions cannot access USCIS-specific documents and data, cannot be customized to immigration-specific workflows, and pose data security risks. Staff spend significant time on tasks that AI could assist with—such as legal research, document drafting, language translation, code generation, and regulatory compliance checks—but have no approved internal AI capability. Additionally, different organizational roles have vastly different AI assistance needs (e.g., attorneys need legal citations; developers need code; contracting officers need FAR guidance, budget officers need access to sensitive internal fiscal data), requiring a solution that adapts to the user's function rather than providing generic responses. PAiTH will also promote USCIS innovation by enabling testing of a variety of large language models and AI platforms, while informing approaches on prompt generation, cost containment and workforce literacy.
Detailed example
PAiTH will generate text-based outputs customized to the user's organizational persona: Legal Persona: Legal research summaries, statute and regulation citations (INA, CFR), case law analysis, draft legal memoranda outlines, document summaries with legal issue identification; Contracts Persona: Market research summaries, FAR/HSAR regulatory guidance, acquisition planning support, vendor comparison analyses, contract language suggestions; Language Translation Persona: Text-to-text translations between English and other languages for immigration documents and communications; Developer Persona: Code generation in various programming languages, code documentation, unit test creation, debugging suggestions, technical documentation drafts; Security Persona: Security compliance checklists, control mapping guidance, risk assessment frameworks, security documentation templates; CFO Persona: Financial research summaries, regulatory compliance guidance, budget justification drafts, data call response templates, training material summaries. All outputs will be text-based responses generated by the AI model, presented in a chat interface, and restricted to authorized USCIS personnel. Outputs will include appropriate disclaimers (e.g., "This is AI-generated research support, not legal advice" for legal persona) and accompanying policy will require human review before being used in any official decision-making, formal communications, and/or reporting.
AI / analytics pattern
Generative AI: AI that generates new or synthetic content (e.g., images, videos, audio, text, code).
Automation level / stage
a) Pre-deployment – The use case is in a development or acquisition status.
Expected benefit
The purpose of PAiTH is to provide USCIS employees with an internal, secure AI assistant that delivers role-specific support for knowledge work tasks. The system will offer six persona-based assistants aligned to core USCIS job functions, each trained and prompted to provide relevant, accurate responses for that role's responsibilities. Intended benefits of PAiTH include: Increased Efficiency: Staff can quickly obtain research, draft language, translations, and technical guidance without manual searching through documents or external research; Role-Specific Accuracy: Persona-based responses tailored to each user's organizational function (legal, contracting, development, etc.) provide more relevant and useful outputs than generic AI; Data Security and Compliance: Internal deployment protects PII and sensitive USCIS data while maintaining compliance with federal security and privacy requirements; Controlled Access to USCIS Knowledge: AI can leverage USCIS-specific documents, policies, and data sources that are inaccessible to commercial AI tools, keeping sensitive information within USCIS boundaries; Standardization: Consistent AI-assisted workflows across the agency reduce variability in research and drafting quality; and Cost Savings: Reduces time spent on routine knowledge tasks, allowing staff to focus on complex decision-making and judgment-based work.
Controls / human review
ATO: Not reported; PIA: Not published