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
1 agencies · 55 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.
Scale & composition
Select an agency to exploreAgencies behind federal AI
In development/acquisition12Pilot1Deployed38Retired4Largest portfolio: 55 · 1 agencies
Conceptual agency landscape · positions do not represent deployment locations. Proximity does not imply a relationship.
AI technology mix
Reported classification · click to cross-filter7% generative or agentic. Each record carries one classification; not reported is shown hatched.
Mission areas
Topic area as reportedLifecycle composition
55 recordsExplore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment100%25%
Pilot100%0%
Deployed100%3%
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
3% of reported deployed use cases (1 of 38) are classified as generative or agentic AI.
Understand the methodology →Evolution of reported AI use cases
By agency-reported start year · click a year to filterGenerative or agenticOther or unclassified39 of 55 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 71% of recordsEach square is 1% of filtered records. Where reported, 64% involve in-house development.
Minimum practices · 55 high-impactin place
Pre-deployment testing58%
AI impact assessment47%
Independent review47%
Ongoing monitoring51%
Operator training51%
Fail-safe44%
Appeal process18%
User and public consultation33%
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. 71% of high-impact records answer any practice question.
Analytical observations
Computed from the current filter; reproducible- Finding3% of reported deployed use cases (1 of 38) are classified as generative or agentic AI. View records
- FindingOf 38 deployed high-impact use cases, 26 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 71% of use cases. Where reported, 64% involve in-house development.
AI classification reported93%
Stage not reported0
Sourcing reported71%