Department of the Treasury

The rulemaking process generates large volumes of public comments that require timely and consistent analysis.

The AI is intended to address the difficulty of manually reviewing and interpreting large volumes of open-ended survey comments.

The AI is intended to reduce the manual workload involved in reviewing and scoring materials used for symposiums.

Regulatory updates and final rules associated with the regulatory programs are extensive, complex, and often highly technical.

Contextual Research (Exploring policies, regulations, trends, and strategic topics)

Contextual Research (Exploring policies, regulations, trends, and strategic topics.

Career alignment problem by bridging the gap between employees and job opportunities.

The Generative AI Tool will assist our project team in developing schemas on all non-tax, tax-related or tax forms they are converting to mobile/online adaptive versions.

Teams often start with high-level business needs that require additional clarification before work can move forward.

The Ink and Paper Consumption Forecast (IPCF) AI model is intended to predict: 1.

AI Enablers (Enterprise solutions that enable AI to integrate into IT services infrastructures)

AI Enablers (Enterprise solutions that enable AI to integrate into IT services infrastructures)

AI Enablers (Enterprise solutions that enable AI to integrate into IT services infrastructures)

The output is not presumed to be high-impact and is not used as the principal basis for significant decisions/actions

Scaling our topic-attention analytics to signal market shifts in real time

AI-powered market monitoring to identify competitive suppliers single-source risks and cost-optimization opportunities

Chatbots for IT service-desk tasks ticket triage password resets and resource provisioning to free analysts for higher-value work

Creating newsletter content requires staff to synthesize updates, draft clear narratives, and format information for broad audiences.

Ability to synthesize information based on extensive discussions, action items, and decisions that must be captured accurately in meeting minutes.

Charts, figures, and tables often lack descriptive alt-text, which is essential for accessibility and compliance with federal standards.

The Comptroller's Handbook contains extensive, detailed guidance that examiners must review and interpret to support supervisory activities.

Developing training materials for supervisory topics requires subject-matter expertise and significant staff time to research concepts, draft explanations, create examples, and format content for instructional use.

Examiners must ensure that written supervisory products consistently adhere to the OCC Writing Style Manual before submitting them to their EICs for review.

Comment letters on major rulemakings can be lengthy and numerous, making it difficult for staff to quickly understand the range of viewpoints and the main arguments presented.

The AI helps cut down the time spent reading through lengthy reports.

Feedback on NPR's can be extensive and highly technical, making it challenging for staff to quickly absorb the main points raised by commenters.

The AI is intended to reduce the manual effort involved in reviewing open positions and identifying available staff who may be a good fit.

OCC staff must frequently review a wide range of OCC regulatory sources-Handbooks, Bulletins, statutes, old Circulars, Interpretive Letters, Corporate Actions, and related guidance-to understand requirements and devel...

Assigning employees to tasks requires balancing multiple factors such as availability, workload, skill sets, and operational constraints.

Compliance OCC staff frequently need to reference regulations by both their alphabetical identifiers (e.g., Regulation Z) and their full statutory names.

The EST GPT project is intended to solve the problem of inefficient and fragmented access to organizational knowledge by creating a centralized, AI-powered repository for documentation, manuals, and legacy data.

Analyzing open-ended survey responses is very time intensive.

AI is to assistant CSR as Knowledge Management Librarian for natural language querying to find solutions, improving IRM research thus minimizing time spent and redundant research.

The core problem the AI is intended to solve lies in the fragmented and highly manual nature of how commercial off-the-shelf technologies are managed throughout their life cycle.

Use of Large Language Models (LLMs) to automatically assess whether taxpayers have addressed the questions raised by Large Business and International (LB&I) Revenue Agents in Information Document Requests (IDRs) respo...

Large amounts of qualitative data need to be coded to convert to quantitative data for analysis.

This project utilizes Large Language Model (LLM) to produce a library of IRS business process maps and optionally integrate them into knowledge graphs based on Internal Revenue Manual (IRM), the IRS processing codes (...

Converting legacy PDFs and chart images into structured datasets for faster research ingestion

Generative AI is new to the acquisition workforce.