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
7 agencies · 149 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.
Scale & composition
Select an agency to exploreAgencies behind federal AI
In development/acquisition21Pilot7Deployed120Retired1Largest portfolio: 75 · 7 agencies
Conceptual agency landscape · positions do not represent deployment locations. Proximity does not imply a relationship.
AI technology mix
Reported classification · click to cross-filter38% generative or agentic. Each record carries one classification; not reported is shown hatched.
Mission areas
Topic area as reportedLifecycle composition
149 recordsExplore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment0%52%
Pilot14%29%
Deployed68%35%
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
DOJ, DOE, SBA report 135 of 149 use cases (91%).
Understand the methodology →Evolution of reported AI use cases
By agency-reported start year · click a year to filterGenerative or agenticOther or unclassified147 of 149 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 99% of recordsEach square is 1% of filtered records. Where reported, 16% involve in-house development.
Minimum practices · 82 high-impactin place
Pre-deployment testing5%
AI impact assessment0%
Independent review0%
Ongoing monitoring1%
Operator training0%
Fail-safe2%
Appeal process5%
User and public consultation0%
Reported in placeReported in progressNot applicableOther or ambiguous answer
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. 100% of high-impact records answer any practice question.
Analytical observations
Computed from the current filter; reproducible- FindingDOJ, DOE, SBA report 135 of 149 use cases (91%).
- Finding35% of reported deployed use cases (42 of 120) are classified as generative or agentic AI. View records
- FindingOf 81 deployed high-impact use cases, 0 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 99% of use cases. Where reported, 16% involve in-house development.
AI classification reported100%
Stage not reported0
Sourcing reported99%