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
14 agencies · 73 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.
Scale & composition
Select an agency to exploreAgencies behind federal AI
In development/acquisition27Pilot8Deployed37Retired1Largest portfolio: 19 · 14 agencies
Conceptual agency landscape · positions do not represent deployment locations. Proximity does not imply a relationship.
AI technology mix
Reported classification · click to cross-filter16% generative or agentic. Each record carries one classification; not reported is shown hatched.
Mission areas
Topic area as reportedLifecycle composition
73 recordsExplore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment41%26%
Pilot13%25%
Deployed35%8%
Retired100%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
VA, DOJ, DHS report 50 of 73 use cases (68%).
Understand the methodology →Evolution of reported AI use cases
By agency-reported start year · click a year to filterGenerative or agenticOther or unclassified33 of 73 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 60% of recordsEach square is 1% of filtered records. Where reported, 64% involve in-house development.
Minimum practices · 26 high-impactin place
Pre-deployment testing15%
AI impact assessment12%
Independent review12%
Ongoing monitoring15%
Operator training15%
Fail-safe12%
Appeal process0%
User and public consultation4%
Reported in placeReported in progressNot applicableOther or ambiguous answerNo 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. 27% of high-impact records answer any practice question.
Analytical observations
Computed from the current filter; reproducible- FindingVA, DOJ, DHS report 50 of 73 use cases (68%).
- Finding8% of reported deployed use cases (3 of 37) are classified as generative or agentic AI. View records
- FindingOf 13 deployed high-impact use cases, 3 report a completed AI impact assessment and 6 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 60% of use cases. Where reported, 64% involve in-house development.
AI classification reported97%
Stage not reported0
Sourcing reported60%