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
15 agencies · 69 reported use cases · OMB 2025 Inventory. Portfolio size reflects reporting, not performance.
Scale & composition
Select an agency to exploreAgencies behind federal AI
In development/acquisition34Pilot11Deployed23Retired1Largest portfolio: 18 · 15 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
69 recordsExplore lifecycle stages and impact
Within each stageHigh-impact · Gen./agentic
Pre-deployment0%100%
Pilot0%100%
Deployed0%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
SEC, DOE, FTC report 36 of 69 use cases (52%).
Understand the methodology →Evolution of reported AI use cases
By agency-reported start year · click a year to filterGenerative or agenticOther or unclassified39 of 69 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 64% of recordsEach square is 1% of filtered records. Where reported, 70% involve in-house development.
Minimum practices · 0 high-impactin place
Pre-deployment testingn/a
AI impact assessmentn/a
Independent reviewn/a
Ongoing monitoringn/a
Operator trainingn/a
Fail-safen/a
Appeal processn/a
User and public consultationn/a
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. n/a of high-impact records answer any practice question.
Analytical observations
Computed from the current filter; reproducible- FindingSEC, DOE, FTC report 36 of 69 use cases (52%).
- Finding100% of reported deployed use cases (23 of 23) are classified as generative or agentic AI. View records
- FindingSourcing is reported for 64% of use cases. Where reported, 70% involve in-house development.
AI classification reported100%
Stage not reported0
Sourcing reported64%