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
12 agencies · 26 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.
Scale & composition
Select an agency to exploreAgencies behind federal AI
Deployed26Largest portfolio: 7 · 12 agencies
Conceptual agency landscape · positions do not represent deployment locations. Proximity does not imply a relationship.
AI technology mix
Reported classification · click to cross-filter27% generative or agentic. Each record carries one classification; not reported is shown hatched.
Mission areas
Topic area as reportedLifecycle composition
26 recordsExplore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Deployed15%27%
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
DOJ, DOI, VA report 16 of 26 use cases (62%).
Understand the methodology →Evolution of reported AI use cases
By agency-reported start year · click a year to filterGenerative or agenticOther or unclassified23 of 26 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 100% of recordsEach square is 1% of filtered records. Where reported, 50% involve in-house development.
Minimum practices · 4 high-impactin place
Pre-deployment testing25%
AI impact assessment25%
Independent review25%
Ongoing monitoring25%
Operator training0%
Fail-safe0%
Appeal process25%
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. 75% of high-impact records answer any practice question.
Analytical observations
Computed from the current filter; reproducible- FindingDOJ, DOI, VA report 16 of 26 use cases (62%).
- Finding27% of reported deployed use cases (7 of 26) are classified as generative or agentic AI. View records
- FindingOf 4 deployed high-impact use cases, 1 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 100% of use cases. Where reported, 50% involve in-house development.
AI classification reported100%
Stage not reported0
Sourcing reported100%