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
11 agencies · 31 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.
Scale & composition
Select an agency to exploreAgencies behind federal AI
In development/acquisition13Pilot1Deployed15Retired1Not reported1Largest portfolio: 7 · 11 agencies
Conceptual agency landscape · positions do not represent deployment locations. Proximity does not imply a relationship.
AI technology mix
Reported classification · click to cross-filter19% generative or agentic. Each record carries one classification; not reported is shown hatched.
Mission areas
Topic area as reportedLifecycle composition
31 recordsExplore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment31%23%
Pilot0%0%
Deployed40%20%
Retired0%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
HHS, DHS, DOJ report 19 of 31 use cases (61%).
Understand the methodology →Evolution of reported AI use cases
By agency-reported start year · click a year to filterGenerative or agenticOther or unclassified13 of 31 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 52% of recordsEach square is 1% of filtered records. Where reported, 56% involve in-house development.
Minimum practices · 10 high-impactin place
Pre-deployment testing30%
AI impact assessment30%
Independent review30%
Ongoing monitoring30%
Operator training30%
Fail-safe30%
Appeal process10%
User and public consultation30%
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. 50% of high-impact records answer any practice question.
Analytical observations
Computed from the current filter; reproducible- FindingHHS, DHS, DOJ report 19 of 31 use cases (61%).
- Finding20% of reported deployed use cases (3 of 15) are classified as generative or agentic AI. View records
- FindingOf 6 deployed high-impact use cases, 3 report a completed AI impact assessment and 1 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 52% of use cases. Where reported, 56% involve in-house development.
- Finding1 use cases (3%) have no reported development stage. View records
AI classification reported94%
Stage not reported1
Sourcing reported52%