Federal AI Intelligence
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Snapshot · OMB 2025 inventory · processed Oct 11, 2026
Technology landscape

Technology landscape

How reported AI classifications spread across agencies, missions, lifecycle stages and sourcing. Each record carries one reported classification, so categories do not overlap. A classification describes the technique, not a specific commercial model.

Agency
Stage
High-impact
Topic
AI type
Sourcing
Vendor
Function
Start year

Only records with a parseable start date match a year filter.

monitoring: affirmativetesting: affirmative

Lifecycle by technology

Share of each technology's records
DeployedPilotPre-deploymentRetiredNot reported
Generative AI24
Classical / predictive ML28
Natural language processing8
Computer vision17
Agentic AI1

Sourcing by technology

Where reported
Developed in-houseContract and in-housePurchased from vendorNot reported
Generative AI24
Classical / predictive ML28
Natural language processing8
Computer vision17
Agentic AI1

Technology adoption by agency

Row share: each agency's records by classification · 16 largest portfolios in the filter
Agency by AI classification
Generative AIClassical / predictive MLNatural language processingComputer visionAgentic AIn
DHS39%4%57%28
DOE37%32%26%5%19
SBA82%18%17
SSA14%86%7
FERC50%50%2
STATE50%50%2
DOL100%1
USDA100%1
EPA100%1

Technology by topic area

Row share within each topic
Topic by AI classification
Generative AIClassical / predictive MLNatural language processingComputer visionAgentic AIn
Law Enforcement38%63%24
Information Technology43%29%21%7%14
Administrative Functions62%23%8%8%13
Government Benefits Processing14%86%7
Service Delivery71%29%7
Other33%67%3
Transportation67%33%3
Cybersecurity50%50%2
Energy and the Environment50%50%2
Procurement and Financial Management100%2
Health and Medical100%1

High-impact designation by technology

High-impactPresumed high-impact, determined notNot high-impactNot reported
Generative AI24
Classical / predictive ML28
Natural language processing8
Computer vision17
Agentic AI1

Governance disclosure by technology

High-impact records: reported in place / scope
TechnologyHigh-impactTestingImpact assess.Indep. reviewMonitoringTraining
Generative AI22 / 21 / 21 / 22 / 22 / 2
Classical / predictive ML1919 / 1916 / 1916 / 1919 / 1918 / 19
Natural language processing22 / 22 / 22 / 22 / 21 / 2
Computer vision1717 / 1715 / 1715 / 1717 / 1717 / 17
Agentic AI0–––––

Shows counts reported in place against all high-impact records of that technology. The remainder includes in-progress, not applicable and unanswered. Full governance view

Systems, vendors and technology are different things

62 of 78 records name a vendor (79%)
ServiceNow99 recordsNEC88 recordsMicrosoft55 recordsAmazon Web Services33 recordsGoogle33 recordsIBM33 recordsOpenAI33 recordsPerplexity22 recordsSalesforce22 recordsAsk Sage11 recordsDeloitte11 recordsGitHub11 recordsGrammarly11 recordsLeidos11 recordsPalantir11 records

Vendor: the supplier the agency names in a free-text field. Matched to a standard list of companies; one record may name several.

System name: the agency's name for the system (reported for 96% of records).

AI classification: the technique category the agency selected. A vendor name does not show which model or technique is used, and this platform does not infer it.