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
17 agencies · 223 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.
Scale & composition
Select an agency to exploreAgencies behind federal AI
In development/acquisition109Pilot41Deployed72Retired1Largest portfolio: 68 · 17 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
223 recordsExplore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment4%100%
Pilot2%100%
Deployed3%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, TREAS, HHS report 145 of 223 use cases (65%).
Understand the methodology →Evolution of reported AI use cases
By agency-reported start year · click a year to filterGenerative or agenticOther or unclassified123 of 223 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 57% of recordsEach square is 1% of filtered records. Where reported, 41% involve in-house development.
Minimum practices · 7 high-impactin place
Pre-deployment testing0%
AI impact assessment29%
Independent review29%
Ongoing monitoring0%
Operator training29%
Fail-safe29%
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. 29% of high-impact records answer any practice question.
Analytical observations
Computed from the current filter; reproducible- FindingDOE, TREAS, HHS report 145 of 223 use cases (65%).
- Finding100% of reported deployed use cases (72 of 72) are classified as generative or agentic AI. View records
- FindingOf 2 deployed high-impact use cases, 2 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 57% of use cases. Where reported, 41% involve in-house development.
AI classification reported100%
Stage not reported0
Sourcing reported57%