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
16 agencies · 48 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.
Scale & composition
Select an agency to exploreAgencies behind federal AI
In development/acquisition19Pilot5Deployed19Retired2Not reported3Largest portfolio: 11 · 16 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
48 recordsExplore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment21%53%
Pilot20%80%
Deployed5%21%
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
DHS, DOJ, DOE report 27 of 48 use cases (56%).
Understand the methodology →Evolution of reported AI use cases
By agency-reported start year · click a year to filterGenerative or agenticOther or unclassified20 of 48 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 50% of recordsEach square is 1% of filtered records. Where reported, 46% involve in-house development.
Minimum practices · 6 high-impactin place
Pre-deployment testing0%
AI impact assessment0%
Independent review0%
Ongoing monitoring0%
Operator training0%
Fail-safe0%
Appeal process0%
User and public consultation0%
Reported in progressNo 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. 17% of high-impact records answer any practice question.
Analytical observations
Computed from the current filter; reproducible- FindingDHS, DOJ, DOE report 27 of 48 use cases (56%).
- Finding21% of reported deployed use cases (4 of 19) are classified as generative or agentic AI. View records
- FindingOf 1 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 50% of use cases. Where reported, 46% involve in-house development.
- Finding3 use cases (6%) have no reported development stage. View records
AI classification reported90%
Stage not reported3
Sourcing reported50%