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
23 agencies · 96 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.
Scale & composition
Select an agency to exploreAgencies behind federal AI
In development/acquisition38Pilot20Deployed15Retired3Not reported20Largest portfolio: 21 · 23 agencies
Conceptual agency landscape · positions do not represent deployment locations. Proximity does not imply a relationship.
AI technology mix
Reported classification · click to cross-filter57% generative or agentic. Each record carries one classification; not reported is shown hatched.
Mission areas
Topic area as reportedLifecycle composition
96 recordsExplore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment3%74%
Pilot0%75%
Deployed20%80%
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
DOE, ED, HHS report 44 of 96 use cases (46%).
Understand the methodology →Evolution of reported AI use cases
By agency-reported start year · click a year to filterGenerative or agenticOther or unclassified44 of 96 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 46% of recordsEach square is 1% of filtered records. Where reported, 25% involve in-house development.
Minimum practices · 4 high-impactin place
Pre-deployment testing0%
AI impact assessment50%
Independent review50%
Ongoing monitoring0%
Operator training50%
Fail-safe50%
Appeal process0%
User and public consultation0%
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- FindingDOE, ED, HHS report 44 of 96 use cases (46%).
- Finding80% of reported deployed use cases (12 of 15) are classified as generative or agentic AI. View records
- FindingOf 3 deployed high-impact use cases, 2 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 46% of use cases. Where reported, 25% involve in-house development.
- Finding20 use cases (21%) have no reported development stage. View records
AI classification reported75%
Stage not reported20
Sourcing reported46%