Federal AI Intelligence
Menu
Snapshot · OMB 2025 inventory · processed Oct 11, 2026
Federal AI landscape

Federal AI at a glance

5 agencies · 67 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.

Executive briefing ↗Explore 67 use cases →
Agency
Stage1
High-impact
Topic1
AI type1
Sourcing
Vendor
Function
Start year

Only records with a parseable start date match a year filter.

AI type: Classical / predictive MLStage: DeployedTopic: Law Enforcement
67 Reported AI use cases5 agencies67 Deployed0 Pilots33 Designated high-impact
Decorative federal AI network visualization; not a representation of agency deployment locations or relationships.
Scale & composition

Agencies behind federal AI

Select an agency to explore
Ring shows composition · node area shows use cases
DOJ38DHS24
Deployed67Largest portfolio: 38 · 5 agencies

Conceptual agency landscape · positions do not represent deployment locations. Proximity does not imply a relationship.

AI technology mix

Reported classification · click to cross-filter

0% generative or agentic. Each record carries one classification; not reported is shown hatched.

Mission areas

Topic area as reported

Lifecycle composition

67 records
Explore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Deployed49%0%

Impact and technology shares use each stage's records as the denominator.

From development and acquisition to retirement. Select a stage to explore its reported use cases.

Reading the inventory

Evidence, with its limits visible

DOJ, DHS, FTC report 65 of 67 use cases (97%).

Understand the methodology →

Evolution of reported AI use cases

By agency-reported start year · click a year to filter
01020<15'15'16'17'18'19'20'21'22'2323'24'25'26
Generative or agenticOther or unclassified67 of 67 records report a parseable start date

Start dates are agency-reported operational or pilot dates, not inventory submission dates. 2026 values are planned or early-year. Undated records are excluded from this chart only.

Sourcing

Reported for 100% of records

Each square is 1% of filtered records. Where reported, 40% involve in-house development.

High-impact AI

Agency self-designation under M-25-21Governance view
67records
Minimum practices · 33 high-impactin place
Pre-deployment testing27%
AI impact assessment24%
Independent review24%
Ongoing monitoring27%
Operator training27%
Fail-safe21%
Appeal process3%
User and public consultation9%
Reported in placeReported in progressNot applicableOther or ambiguous answer

High-impact is the agency's own classification, not an independent risk rating. No answer reported is missing evidence, not evidence that a practice is absent. 100% of high-impact records answer any practice question.

Analytical observations

Computed from the current filter; reproducible
  • FindingDOJ, DHS, FTC report 65 of 67 use cases (97%).
  • Finding0% of reported deployed use cases (0 of 67) are classified as generative or agentic AI. View records
  • FindingOf 33 deployed high-impact use cases, 8 report a completed AI impact assessment and 0 leave every minimum-practice field blank. View records
  • InterpretationBlank practice fields are missing evidence, not evidence that a safeguard is absent. They mark where follow-up questions to the agency are most useful.
  • FindingSourcing is reported for 100% of use cases. Where reported, 40% involve in-house development.
AI classification reported100%
Stage not reported0
Sourcing reported100%