The executive briefing
From inventory to insight
A concise reading of federal AI portfolios, deployment and the evidence agencies report.
Read the briefingFederal AI landscape
Federal AI at a glance
12 agencies · 38 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.
Scale & composition
Select an agency to exploreAgencies behind federal AI
In development/acquisition4Pilot14Deployed19Retired1Largest portfolio: 12 · 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-filter100% generative or agentic. Each record carries one classification; not reported is shown hatched.
Mission areas
Topic area as reportedLifecycle composition
38 recordsExplore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment25%100%
Pilot7%100%
Deployed5%100%
Retired0%100%
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, SSA, DHS report 21 of 38 use cases (55%).
Understand the methodology →Evolution of reported AI use cases
By agency-reported start year · click a year to filterGenerative or agenticOther or unclassified37 of 38 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 recordsEach square is 1% of filtered records. Where reported, 59% involve in-house development.
Minimum practices · 3 high-impactin place
Pre-deployment testing67%
AI impact assessment67%
Independent review67%
Ongoing monitoring33%
Operator training67%
Fail-safe67%
Appeal process0%
User and public consultation67%
Reported in placeReported in progressNot applicableNo 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. 67% of high-impact records answer any practice question.
Analytical observations
Computed from the current filter; reproducible- FindingDOE, SSA, DHS report 21 of 38 use cases (55%).
- Finding100% of reported deployed use cases (19 of 19) are classified as generative or agentic AI. View records
- FindingOf 1 deployed high-impact use cases, 1 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 97% of use cases. Where reported, 59% involve in-house development.
AI classification reported100%
Stage not reported0
Sourcing reported97%