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

Federal AI at a glance

12 agencies · 50 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.

Executive briefing ↗Explore 50 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: Administrative Functions
50 Reported AI use cases12 agencies50 Deployed0 Pilots5 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
HHS15DOJ13DHS6
Deployed50Largest portfolio: 15 · 12 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

50 records
Explore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Deployed10%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

HHS, DOJ, DHS report 34 of 50 use cases (68%).

Understand the methodology →

Evolution of reported AI use cases

By agency-reported start year · click a year to filter
0510<15'15'16'17'18'19'20'21'22'2310'24'25'26
Generative or agenticOther or unclassified43 of 50 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, 58% involve in-house development.

High-impact AI

Agency self-designation under M-25-21Governance view
50records
Minimum practices · 5 high-impactin place
Pre-deployment testing40%
AI impact assessment0%
Independent review0%
Ongoing monitoring40%
Operator training20%
Fail-safe40%
Appeal process40%
User and public consultation20%
Reported in placeReported in progressNo answer reported

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. 80% of high-impact records answer any practice question.

Analytical observations

Computed from the current filter; reproducible
  • FindingHHS, DOJ, DHS report 34 of 50 use cases (68%).
  • Finding0% of reported deployed use cases (0 of 50) are classified as generative or agentic AI. View records
  • FindingOf 5 deployed high-impact use cases, 0 report a completed AI impact assessment and 1 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, 58% involve in-house development.
AI classification reported100%
Stage not reported0
Sourcing reported100%