AI Use Case Inventory 2025

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AI Use Case Inventory 2025

2025 Consolidated AI Use Cases

Agencies must publish a consolidated list of common AI use cases on their public websites, covering routine uses of AI that do not require individual project-level reporting. At the Board, our common uses of AI tools include writing assistance, coding assistance, and document summarization.

AI Use Case	Commercial Examples	Y	Name of Commercial Product or Service Used	Estimated # of Licenses/Users
Scheduling internal-to-government meetings or appointments or setting reminders using AI.	Calendly, Reclaim.AI	N	n/a	n/a
Logging and analyzing time spent on tasks using AI-powered time management tools.	Timely, Asana	N	n/a	n/a
Transcribing, summarizing, or other efforts that improve the accessibility of a virtual meeting or interview using AI.	Otter.ai, Evernote, Fireflies	N	n/a	n/a
Prioritizing and categorizing incoming emails using AI.	SaneBox, OpenPaas	N	n/a	n/a
Editing images, videos, or other public affairs materials using AI.	Adobe Firefly, Instagram Edits	Y	External- Creative Production Suite	1-100
Scheduling and managing social media posts using AI.	ContentStudio, Sprout Social	N	n/a	n/a
Generating first drafts of documents, briefing, or communication materials using AI.	ChatGPT, Gemini	Y	External- Chatbots, Internal Gov Cloud- Chatbots	1001-5000
Improving the quality of written communications using AI tools.	Grammarly, ProWritingAid	Y	External- Chatbots, Internal Gov Cloud- Chatbots	1001-5000
Summarizing the key points of a lengthy report using AI.	ChatGPT, Perplexity	Y	External- Chatbots, Internal Gov Cloud- Chatbots	1001-5000
Creating visual representations of data sets for reports or presentations using AI.	Tableau Agent, Julius AI	N	n/a	n/a
Using AI-assisted tools in word processors.	Grammarly, Microsoft Copilot	N	n/a	n/a
Generating code using AI.	Poolside, GitHub Copilot	Y	External-Generative Coding Assistant, External-Chatbots, Internal- Gov Cloud Chatbots	1001-5000
Searching for agency information using a knowledge retrieval system.	ChatGPT, Gemini	Y	Internal- Gov Cloud Chatbots	1001-5000
Identifying and cataloging items in a storage room using AI-driven image recognition.	Google Lens	N	n/a	n/a
Managing or implementing security controls for information systems (e.g., cybersecurity) using AI	Crowdstrike Falcon, Microsoft Defender	Y	External- Cybersecurity Suites	1-100
Managing and prioritizing internal service or help desk tickets using AI.	Supportbench, ServiceDesk Plus	N	n/a	n/a
Curating news articles and updates based on user preferences using AI.	MediaViz AI, Google News Brief	N	n/a	n/a
Planning travel routes using AI-driven map applications.	Google Maps, Apple Maps	Y	External- Smartphone OS	1-100
Finding and booking travel accommodations using AI-powered platforms.	SAP Concur, Navan	Y	External- Government Travel System	101-1000
Unlocking smartphones or other devices without the need for passwords or PINs using AI-based facial recognition technology.	Apple iPhone, Google Pixel	Y	External- Smartphone OS	1001-5000

n/a Not applicable. Return to table

2025 Individual Use Cases

Section 1. Use Case Identifiers

Section 1 captures key identifying attributes for each AI use case, including the unique agency ID, agency name, bureau/component, and point of contact email. It also records the use case name, stage of development, and whether the use case is designated as high-impact or rights/safety impacting. Justifications for non-high-impact determinations and expected purpose and benefits are documented in this section.

Section 2. Use Case Summary

Section 2 provides an overview of the use case, including its topic area, AI classification, and the problem the AI is intended to solve. It describes expected benefits and positive outcomes for the agency's mission and the public, along with the system's outputs and intended use.

Section 3. Documentation

Section 3 contains operational and system-level details, including the date the use case became operational or the pilot start date. It specifies whether the system was purchased from a vendor, developed under contract, or built in-house, and lists vendor names where applicable. Authorization to Operate (ATO) status and system names are recorded, along with accessibility compliance for public-facing inventory pages.

Section 4. Data and Code

Section 4 documents the data and code associated with the AI use case. It describes data used for training, fine-tuning, and evaluation, and provides links to open government data assets when required. This section indicates whether personally identifiable information (PII) is involved, includes links to any Privacy Impact Assessments (PIAs), and identifies demographic variables used as model features. It also notes whether custom-developed code is included and provides links to open-source code when applicable.

Section 5. Risk Management

Section 5 addresses risk assessment and management practices for high impact use cases. Agencies must detail these practices when applicable. The Board did not report any rights or safety impacting use cases; thus, this section is not completed.

Use Case ID	Use Case Name	Agency	Bureau/Component	Email Address	Should this AI use case be withheld from public reporting?	Stage of Development	Is the AI use case high-impact?	Provide a justification for why the use case is determined to be not high impact.	Use Case Topic Area	AI Classification	What problem is the AI intended to solve?	What are the expected benefits and positive outcomes from the AI for an agency's mission and/or the general public?	Describe the AI system's outputs.	Date when AI use case became operational or the pilot's start date.	Was the system involved in this use case purchased from a vendor or developed under contract(s) or in-house?	Vendor(s) Name	Does this AI use case have an associated Authorization to Operate (ATO)?	System(s) Name	Describe any data used to train, fine-tune, and/or evaluate performance of the model(s) used in this use case.	If the data is required to be publicly disclosed as an open government data asset, provide a link to the entry on the Federal Data Catalog.	Does this AI use case involve personally identifiable information (PII) that is maintained by the agency?	If publicly available, provide the link to the AI use case's associated Privacy Impact Assessment (PIA), if any.	Which, if any, demographic variables does the AI use case explicitly use as model features?	Does this project include custom-developed code?	If the code is open source, provide the link for the publicly available source code.
FRB-0001	Economic Trend Modeling	Board of Governors of the Federal Reserve System	Division of Monetary Affairs	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Enhance economic forecasting accuracy beyond traditional statistical models to better predict economic events	Additional data beyond traditional statistical models	Multiple methods calculate the probability of a economic event in the next twelve months between 0 and 1 and are aggregated	9/23/2019	Developed in-house	n/a	Yes	General Support System	Internal – Fixed Income	n/a	No	n/a	None of the above	Yes	n/a
FRB-0003	PDF Optical Character Recognition (Text)	Board of Governors of the Federal Reserve System	Division of Information Technology	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Information Technology	Classical/Predictive Machine Learning	Automate extraction of structured column data from unstructured PDF reports to reduce manual processing time and errors	The intended purpose is to extract and to decide the correct column name extracted from a report in PDF format	The list of the appropriate column names in text format	9/26/2024	Developed in-house	n/a	Yes	General Support System	Internal Documents	n/a	No	n/a	None of the above	Yes	n/a
FRB-0004	PDF Optical Character Recognition (Images)	Board of Governors of the Federal Reserve System	Division of Information Technology	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Information Technology	Classical/Predictive Machine Learning	PDF OCR (Images) – Extract textual information from images embedded within PDF documents for comprehensive document analysis	The intended purpose is to extract text from the image embedded in PDF file	The AI system's output is the image details in text format for further analysis	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0005	Stock Market Analysis	Board of Governors of the Federal Reserve System	Division of Research and Statistics	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Quantify relationships between news media narratives and stock market volatility to improve market event understanding	To understand media narratives associated with stock market events	Time series measuring association of different news topics frequencies with market volatility	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0009	Commercial Real Estate Index	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Synthesize commercial real estate data points into a comprehensive market index for improved market monitoring	Identify principal component using various data points to create a market index for commercial real estate	A principal component, which then gets used as the index	10/1/2023	Developed in-house	n/a	Yes	General Support System	External – Real Estate	n/a	No	n/a	None of the above	Yes	n/a
FRB-0010	Variable Optimization	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pilot – The use case has been deployed in a limited test or pilot capacity.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Determine optimal lag structures to enhance accuracy for forecasting call report metrics	Iterate through alternative lag structures to identify the optimal one for forecasting call report metrics	A forecast for select call report metrics	9/28/2023	Developed in-house	n/a	Yes	General Support System	Internal – FFIEC Call Report	n/a	No	n/a	None of the above	Yes	n/a
FRB-0011	Credit Fragment Analysis	Board of Governors of the Federal Reserve System	Division of Research and Statistics	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Identify meaningful patterns in fragmented data to support more comprehensive research analysis	Research on credit fragments	Identification of observations	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0013	Proposals and Public Comments	Board of Governors of the Federal Reserve System	Office of the Secretary	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Efficiently process large volumes of public regulatory comments while ensuring proper handling of sensitive information	The Board of Governors of the Federal Reserve System (Board) is developing the Proposals and Public Comments (PPC) system to electronically process and manage comments from the public on regulatory rulemakings, information collections, and other proposals (collectively, proposals) and to post those comments to the Board's public website. The first release of PPC is expected in mid-November 2024. The Board's processing of comments may use artificial intelligence (AI) to provide more efficient processing of public comments (e.g., PII redaction recommendations, spam detection).	The Board's processing of comments may use artificial intelligence (AI) to provide more efficient processing of public comments (e.g., PII redaction recommendations, sentiment analysis, text matching, entity identification, and text similarity matching). A human verifies the system recommendations.	11/16/2024	Developed in-house	n/a	Yes	Proposals and Public Comments	External – Public Comments	n/a	Yes	Privacy Impact Assessment - Proposals and Public Comments System	None of the above	Yes	n/a
FRB-0016	Manufacturer Sentiment Analysis	Board of Governors of the Federal Reserve System	Division of Research and Statistics	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Convert qualitative survey responses into quantitative insights on industrial production forecasts	To quantify survey responses related to forecasts of industrial production	Time series measuring the sentiment of manufacturing via survey respondents	7/1/2022	Developed in-house	n/a	Yes	General Support System	External – Manufacturing	n/a	Yes	n/a	None of the above	Yes	n/a
FRB-0017	Supply Chain Estimations	Board of Governors of the Federal Reserve System	Division of Research and Statistics	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Identify and measure supply chain constraints that could impact broader economic performance	To estimate supply chain bottlenecks	Time series measuring supply chain bottleneck sentiment data	12/1/2022	Developed in-house	n/a	Yes	General Support System	Internal – Beige Book	n/a	No	n/a	None of the above	Yes	n/a
FRB-0021	Body Worn Cameras Data Management System	Board of Governors of the Federal Reserve System	Office of the Inspector General	Contact AI Use Case Inventory	No	Pilot – The use case has been deployed in a limited test or pilot capacity.	c) Not high-impact	n/a	Law Enforcement	Generative AI	Body Worn Cameras Data Management – Ensure proper handling of information in body camera footage while making content searchable	Audio recordings may be transcribed to text and/or redacted. Transcripts are then labeled "unverified" until an OIG designated member reviews, edits and approves the final transcript. Automatically detects and redacts screens (computer screens, digital signs), faces and license plates captured. Prior to redacting any evidence, a special agent must first approve the redactions before sharing any evidence.	Text versions of spoken word	7/1/2024	Purchased from a vendor	Third Party Vendor	No	Body Worn Camera Data Management System	None	n/a	Yes	Privacy Impact Assessment of Body Worn Cameras Data Management System	Other	No	n/a
FRB-0022	Market Fund Portfolio	Board of Governors of the Federal Reserve System	Division of Research and Statistics	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Accurately identify security issuers in money market fund portfolios	To assist with issuer classification of money market funds	A list of likely issuers of a particular security	5/1/2021	Developed in-house	n/a	Yes	General Support System	External – SEC Filings	n/a	No	n/a	None of the above	Yes	n/a
FRB-0024	Sentiment Analysis of Earnings Transcripts	Board of Governors of the Federal Reserve System	Division of Monetary Affairs	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Measure and classify sentiment in bank earnings calls to identify emerging trends	Additional insight into sentiments related to topics in bank earnings calls	The probability that text inputs are positive, negative, or neutral and classifies them as such	10/1/2024	Developed in-house	n/a	Yes	General Support System	Internal – Earning Transcripts	n/a	No	n/a	None of the above	Yes	n/a
FRB-0025	Anomaly Detection	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Identifying irregular patterns in firm-submitted information based on historical submission patterns	Improve the iterative data quality process	Suggested messages regarding data quality of subsets of firm submitted data based on similar historical messages	12/1/2022	Developed in-house	n/a	Yes	General Support System	Internal – QIS	n/a	No	n/a	None of the above	Yes	n/a
FRB-0026	Consumer Complaints Explorer	Board of Governors of the Federal Reserve System	Division of Consumer and Community Affairs	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Categorize large volumes of consumer complaints into topics to facilitate appropriate analysis and response	Improve the classification of consumer complaints into topics using topic modeling	Gamma value, topic number, and top five terms for the topic number for each narrative	1/1/2019	Developed in-house	n/a	Yes	General Support System	External – CFPB Consumer Complaints	n/a	No	n/a	None of the above	Yes	n/a
FRB-0028	Regulatory Data Analysis	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Identify potential reporting anomalies by comparing current submitted values against expected ranges based on historical patterns	Improved data quality for stakeholders	Values for various predicted percentile levels for a given reporter are provided to an analyst to compare to current reported values	9/9/2024	Developed in-house	n/a	Yes	General Support System	Internal – Firm Data	n/a	No	n/a	None of the above	Yes	n/a
FRB-0029	Decision Tree for Deposits Data	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pilot – The use case has been deployed in a limited test or pilot capacity.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Detect outliers in current reporting data to enhance overall data quality and reliability	Improved process efficiency and data quality.	Predetermined variables are calculated and then filtered to identify potential outliers in the current reporting period data	8/29/2024	Developed in-house	n/a	Yes	General Support System	Internal – H.6 Money Stock Measures	n/a	No	n/a	None of the above	Yes	n/a
FRB-0031	Novel Activities Call Report Classification	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pilot – The use case has been deployed in a limited test or pilot capacity.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Identify emerging or non-traditional banking activities	The random forest model would parse out what reported categories most significantly predict inclusion on novel banking activity lists	The model identifies call report line items that are correlated with the banks on internal supervisory lists and classifies banks based on their statistical similarity to banks engaged in novel activities	7/1/2024	Developed in-house	n/a	Yes	General Support System	Internal – FDIC Deposits	n/a	No	n/a	None of the above	Yes	n/a
FRB-0032	Financial News Processing	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pilot – The use case has been deployed in a limited test or pilot capacity.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Transform large volumes of unstructured financial news into structured, actionable insights	Assist with financial news processing	Interactive dashboards	9/1/2024	Developed in-house	n/a	Yes	General Support System	External – News Feed	n/a	No	n/a	None of the above	Yes	n/a
FRB-0033	Bank Exam Quality Control – Model 1	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Enhance quality control by incorporating external news data into performance assessment models	A traditional machine learning NLP model of bank performance that utilizes information in news articles among various inputs	Model outcomes are used as a component of quality control	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0034	Document Summarization Statistics	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Extract meaningful metrics and term frequencies from lengthy documents to identify trends and common issues	Provide statistics about bank review letters based on the length of the letters and the frequency of common financial terms	Statistics on letters contained in a PDF	12/22/2024	Developed in-house	n/a	Yes	General Support System	Internal – Firm Data	n/a	No	n/a	None of the above	Yes	n/a
FRB-0035	Writing Quality Analysis Model	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Ensure consistent, high-quality writing across organizational documents through automated style and quality assessment	A NLP model to help leaders better understand the writing quality and consistency of documents	Provides analysis score of consistency of writing style	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0036	Comment Review System	Board of Governors of the Federal Reserve System	Division of Information Technology	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Manage, analyze, and categorize large volumes of public comments	The Comment Review System (CRS) is a system used by the Board of Governors of the Federal Reserve System ("Board") to electronically process and manage comments from the public on regulatory rulemakings, information collections, and other proposals (collectively, "proposals"). The Board's processing of comments may use artificial intelligence (AI) to provide more efficient processing of public comments (e.g., text matching, entity identification, and text similarity matching).	To assist the analyst in reviewing each comment, CRS uses traditional machine learning natural language processing (NLP) to provide text summarization, text matching with lists of topics, entity identification, and text similarity matching. In addition, CRS identifies duplicative or near-duplicative comment letters, provides full text search (including metadata properties), and provides the optionality of providing notes or labelling comments based on various metadata attributes. All public comments are reviewed in their entirety, and summaries are used to assist with these reviews.	7/1/2021	Developed in-house	n/a	Yes	Comment Review System	External – Public Comments	n/a	Yes	Privacy Impact Assessment of Comment Review System	None of the above	Yes	n/a
FRB-0037	Trading Desk Grouping	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pilot – The use case has been deployed in a limited test or pilot capacity.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Categorize wide-ranging trading desk operations by asset class	Grouping Trading Desk Descriptions	An asset class type for each desk	4/1/2024	Developed in-house	n/a	Yes	General Support System	External – Banking Data	n/a	No	n/a	None of the above	Yes	n/a
FRB-0041	Threshold Monitoring	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Timely identification of threshold limits	Enhance monitoring on limits thresholds, faster collaboration	Tools serve analysts to enhance monitoring on limits thresholds and actuals	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0042	Supply and Demand Tool	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Optimize resource allocation based on defined rules to better balance supply and demand constraints	The tool is used to monitor and project resource and supply demand based on defined rule sets	Resource monitor based on rule outcomes	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0043	Outlier Detection	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Efficiently process large volumes of firm data to identify anomalies and extract meaningful insights	Traditional AI to help identify, synthesize, and deliver information provided by firms.	Identify, synthesize, and deliver information from firms	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0044	Earnings Call Topic Model	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Systematically categorize earnings call content to enable more efficient and comprehensive analysis	Model used to classify topics from earnings calls	Classify information from Earnings Calls	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0045	Bank Performance Monitoring	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Enhance capabilities through econometric modeling based on historical performance data	Model used to support off site risk analysis	Econometric model that supplements offsite risk analysis based on historical ratings	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0047	Bank Exam Quality Control – Model 2	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Incorporating external news data into modeling	A traditional machine learning NLP model of bank ratings that utilizes information in news articles among various inputs	Model outcomes are used as a component of quality control	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0049	Risk Rating Model – Community Banks	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Develop more accurate classification framework for community banks to appropriately tailor strategies	To improve upon the classification framework used to tier community banks according to risk, and to tailor examination intensity	Statistical methods are used in the variable selection process for a model	10/30/2023	Developed in-house	n/a	Yes	General Support System	Internal – FFIEC Call Report, Uniform Bank Performance Report	n/a	No	n/a	None of the above	Yes	n/a
FRB-0050	Risk Rating Model	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pilot – The use case has been deployed in a limited test or pilot capacity.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Improve risk models optimize resource allocation	Identify a set of factors that may be helpful in predicting the likelihood that a bank will experience an adverse outcome in the future, and to tier banks into High-, Moderate- and Low-risk tiers for review	Statistical methods are used in the variable selection process for a risk model	10/2/2019	Developed in-house	n/a	Yes	General Support System	Internal – FFIEC Call Report, Uniform Bank Performance Report	n/a	No	n/a	None of the above	Yes	n/a
FRB-0051	Financial System Data Analysis	Board of Governors of the Federal Reserve System	Division of Financial Stability	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Classical/Predictive Machine Learning	Model counterparty exposures across multiple institutions.	Enhance the ability to monitor trends in the financial system.	Model provides a calculated risk score	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0052	Bank Examiner Search Engine	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Saving examiners time by providing requested information needed during bank examinations	Provide efficiencies for bank examiners during examinations by helping to provide information faster and at greater scale	Retrieval of requested documents in original unaltered form	6/3/2025	Developed in-house	n/a	Yes	General Support System	Internal – FFIEC Call Report	n/a	No	n/a	None of the above	Yes	n/a
FRB-0053	Oasis Semantic Search	Board of Governors of the Federal Reserve System	Division of Supervision and Regulation	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Manually searching for documents is a significant task for each business use case	Reduce search time for each business use case	Retrieval of search results and documents that may otherwise be excluded by a keyword alone.	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0054	Virtual Benefits Assistant	Board of Governors of the Federal Reserve System	Division of Management	Contact AI Use Case Inventory	No	Deployed – The use case is being actively authorized or utilized to support the functions or mission of an agency.	c) Not high-impact	n/a	Human Resources	Generative AI	Virtual Assistant is designed to answer questions on how to navigate the site and answer general questions	Get general answers on benefits and links to reference materials for additional information or benefits contact information	The system provides general responses and employees have the option to speak to a representative if they have more detailed questions.	3/1/2025	Purchased from a vendor	Benefits Manager	Yes	Benefits Manager	Internal – Thrift Plan and Retirement Plan Documentation	n/a	No	n/a	None of the above	No	n/a
FRB-0055	Data Quality Prioritization Dashboard	Board of Governors of the Federal Reserve System	Division of Information Technology	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Edits are needed to call report data in a short period of time	Quicker outreach and data revision to enhance data quality for end users	Edit explanation and revision data from call reports	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a
FRB-0056	Monitoring Earnings Conference Calls	Board of Governors of the Federal Reserve System	Division of Monetary Affairs	Contact AI Use Case Inventory	No	Pre-deployment – The use case is in a development or acquisition status.	c) Not high-impact	n/a	Other – Economic & Financial	Natural Language Processing	Need to identify mentions of using genAI alongside research and development	Information on R&D at reported organizations	Call transcripts with keywords	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a	n/a

n/a Not applicable. Return to table

Last Update: January 28, 2026