Federal AI Intelligence · U.S. Government AI Observatory

Custom inventory report

Filter: agency = SEC; stage = pre_deployment

Generated 2026-10-12 11:19 UTCDataset: 2025 Federal Agency AI Use Case Inventory (individually reported use cases), Office of Management and Budget (OMB). Version 2025-inventory@62d5baa65fa3, processed 2026-10-11, rules 2026.10.1. Static snapshot.Applied filters: agency = SEC; stage = pre_deployment · 23 records

Key findings

23 use-case records from 1 agencies: 0 deployed (0%), 0 pilots, 23 in development or acquisition, 0 retired, 0 with no stage reported.
0 records are designated high-impact; 0 of them (n/a) answered at least one minimum-practice question.
Sourcing is reported for 0% of use cases. Where reported, n/a involve in-house development.

Lifecycle

Stage	Records	Share
Pre-deployment	23	100%

AI technology

Classification	Records	Share
Generative AI	13	57%
Classical / predictive ML	7	30%
Computer vision	1	4%
Agentic AI	2	9%

Agencies

Agency	Records	Deployed	High-impact	Completeness
SEC · Securities and Exchange Commission	23	0	0	58%

High-impact designation

Designation	Records
Not high-impact	23

Governance evidence: use cases designated high-impact

Practice	In place	In progress	Not in place	N/A or precluded	Other	No answer	In scope
Pre-deployment testing	0	0	0	0	0	0	0
AI impact assessment	0	0	0	0	0	0	0
Independent review	0	0	0	0	0	0	0
Ongoing monitoring	0	0	0	0	0	0	0
Operator training	0	0	0	0	0	0	0
Fail-safe	0	0	0	0	0	0	0
Appeal process	0	0	0	0	0	0	0
User and public consultation	0	0	0	0	0	0	0

"In place" means the agency reported the practice as established. "No answer" means the field was blank; it says nothing about whether the practice exists.

Method

All figures are computed directly from the normalised inventory records. Category labels are normalised from the source answer options; original values are kept on each record. Governance answers are classified as in place, in progress, not in place, not applicable, precluded, waived, other or no answer, and blanks are never read as "no". See the Methodology page for full rules.

Limitations

Figures are what agencies reported in the 2025 inventory. They are not verified, and registration of use cases is not complete for every agency.
A blank answer is missing evidence, not evidence that a practice or safeguard is absent.
Counts are use-case records. A larger portfolio does not indicate better performance or greater AI maturity, and agencies differ in how they split systems into use cases.
The inventory has no budget, cost, accuracy or outcome data. None is shown or inferred here.
This is a disclosure analysis. It is not an audit, a compliance determination or an official government assessment.

Source records

All 23 records.

Record	Agency ID	Agency	Use case	Stage
R0009	SEC-9	SEC	CF Staff Review Comments	Pre-deployment
R0019	SEC-21	SEC	Identification of Potentially Manipulative Trading Activity in Registrant Data	Pre-deployment
R0030	SEC-37	SEC	Large Language Model analysis for the Tips, Complaints and Referrals (TCR) system	Pre-deployment
R0034	SEC-41	SEC	Knowledge base of federal securities law and chatbot	Pre-deployment
R0035	SEC-42	SEC	Knowledge base of crypto comments and chatbot	Pre-deployment
R0036	SEC-43	SEC	Create description of documents for records management in sharepoint	Pre-deployment
R0039	SEC-46	SEC	Semantic Layer Natural Language Query	Pre-deployment
R0041	SEC-48	SEC	AI Chart Generation	Pre-deployment
R0043	SEC-50	SEC	Disclosure Review Chatbot	Pre-deployment
R0044	SEC-51	SEC	Note-Taking Assistant	Pre-deployment
R0045	SEC-52	SEC	Public Website Search	Pre-deployment
R0046	SEC-53	SEC	Chatbot with SEC Documents	Pre-deployment
R0047	SEC-54	SEC	Enhancing Analysis of SEC Web Engagement Trends Using AI	Pre-deployment
R0048	SEC-55	SEC	Identifying Citations of SEC Publications to Measure Market Impact	Pre-deployment
R0049	SEC-56	SEC	Analyzing Registered Offerings Data to Understand Capital Formation Trends	Pre-deployment
R0050	SEC-57	SEC	Analyzing EDGAR Search Trends to Understand Public Interest in Filings	Pre-deployment
R0051	SEC-58	SEC	Analyzing Form ADV Data to Identify Trends Among Investment Advisers	Pre-deployment
R0052	SEC-59	SEC	Rule and Comment Organization and Summarization	Pre-deployment
R0053	SEC-60	SEC	AI-enabled information collection and curation	Pre-deployment
R0054	SEC-61	SEC	AI-enabled information dissemination	Pre-deployment
R0058	SEC-65	SEC	Streamlining initial research	Pre-deployment
R0059	SEC-66	SEC	Use natural language to query crypto market data and create on demand visualizations with prepopulated thresholds	Pre-deployment
R0062	SEC-69	SEC	Comparing EDGAR system access request forms	Pre-deployment

Prepared with Federal AI Intelligence by Irakli Petriashvili. Source: https://github.com/ombegov/2025-Federal-Agency-AI-Use-Case-Inventory