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

Federal AI at a glance

10 agencies · 35 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.

Executive briefing ↗Explore 35 use cases →
Agency
Stage
High-impact
Topic
AI type
Sourcing
Vendor1
Function
Start year

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

feedback: blankVendor: OpenAI
35 Reported AI use cases10 agencies20 Deployed13 Pilots2 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
DOE11HHS5DOJ4DHS4SSA3
In development/acquisition2Pilot13Deployed20Largest portfolio: 11 · 10 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

89% generative or agentic. Each record carries one classification; not reported is shown hatched.

Mission areas

Topic area as reported

Lifecycle composition

35 records
Explore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment50%100%
Pilot8%85%
Deployed0%90%

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

DOE, HHS, DOJ report 20 of 35 use cases (57%).

Understand the methodology →

Evolution of reported AI use cases

By agency-reported start year · click a year to filter
051015<15'15'16'17'18'19'20'21'22'23'2419'25'26
Generative or agenticOther or unclassified34 of 35 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 97% of records

Each square is 1% of filtered records. Where reported, 71% involve in-house development.

High-impact AI

Agency self-designation under M-25-21Governance view
35records
Minimum practices · 2 high-impactin place
Pre-deployment testing0%
AI impact assessment0%
Independent review0%
Ongoing monitoring0%
Operator training0%
Fail-safe0%
Appeal process0%
User and public consultation0%
No 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. 0% of high-impact records answer any practice question.

Analytical observations

Computed from the current filter; reproducible
  • FindingDOE, HHS, DOJ report 20 of 35 use cases (57%).
  • Finding90% of reported deployed use cases (18 of 20) are classified as generative or agentic AI. View records
  • FindingSourcing is reported for 97% of use cases. Where reported, 71% involve in-house development.
AI classification reported100%
Stage not reported0
Sourcing reported97%