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

Federal AI at a glance

8 agencies · 36 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.

Executive briefing ↗Explore 36 use cases →
Agency
Stage
High-impact1
Topic
AI type1
Sourcing1
Vendor
Function
Start year

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

AI type: OtherHigh-impact: Not high-impactSourcing: Contract and in-house
36 Reported AI use cases8 agencies15 Deployed5 Pilots0 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
DOT12DOE12
In development/acquisition16Pilot5Deployed15Largest portfolio: 12 · 8 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

36 records
Explore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment0%0%
Pilot0%0%
Deployed0%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

DOT, DOE, HHS report 27 of 36 use cases (75%).

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 unclassified20 of 36 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, 100% involve in-house development.

High-impact AI

Agency self-designation under M-25-21Governance view
36records
Minimum practices · 0 high-impactin place
Pre-deployment testingn/a
AI impact assessmentn/a
Independent reviewn/a
Ongoing monitoringn/a
Operator trainingn/a
Fail-safen/a
Appeal processn/a
User and public consultationn/a

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. n/a of high-impact records answer any practice question.

Analytical observations

Computed from the current filter; reproducible
  • FindingDOT, DOE, HHS report 27 of 36 use cases (75%).
  • Finding0% of reported deployed use cases (0 of 15) are classified as generative or agentic AI. View records
  • FindingSourcing is reported for 100% of use cases. Where reported, 100% involve in-house development.
AI classification reported100%
Stage not reported0
Sourcing reported100%