Agency dossier · TREAS
Department of the Treasury
129 reported use cases, 3.6% of all federal records. Rank reflects what was reported, not performance.
#10by records#9by deployed#7by high-impact#22by completenessof 41 agencies
Disclosure completeness72%Mean of 12 core fields
Technology portfolio
Click a segment for recordsMission mix
Topic area as reportedLifecycle
129 recordsWithin each stageHigh-impact · Gen./agentic
Pre-deployment4%84%
Pilot0%64%
Deployed0%31%
Retired9%0%
Lifecycle timeline
By agency-reported start yearGenerative or agenticOther or unclassified52 of 129 records report a parseable start date
Position against all agencies
This agency vs the federal inventoryDeployed share20%vs 29%
High-impact share3%vs 12%
Generative or agentic63%vs 27%
Sourcing reported40%vs 44%
In-house development29%vs 28%
Disclosure completeness72%vs 67%
Cyan: TREAS. Ring: all 3,611 records. Differences describe reporting, not quality.
Governance evidence
4 high-impact use cases · share reported in placePre-deployment testing0%
AI impact assessment0%
Independent review0%
Ongoing monitoring0%
Operator training0%
Fail-safe0%
Appeal process0%
User and public consultation0%
No answer reported
No answer is missing evidence, not evidence that a safeguard is absent. Click a segment to open those records.
Sourcing and vendors
Sourcing reported for 40%No vendor on the standard list.
- Regulatory Reform ToolPre-deployment · High-impactOGC-01 · Generative AI · Administrative Functions · General Counsel
- IRS IaaP Accelerator ( AI-Powered Infrastructure as a Product Accelerator)Pre-deployment · High-impactTREAS-IRS-104 · Agentic AI · Information Technology · Internal Revenue Service (IRS)
- GenAI for Low Code PlatformPre-deployment · High-impactTREAS-IRS-46 · Generative AI · Human Resources · Internal Revenue Service (IRS)
- Resume ScannerRetired · High-impactTREAS-IRS-37 · Not reported · Not reported · Internal Revenue Service (IRS)
- OCC.ChatDeployed1 · Generative AI · Information Technology · Office of the Comptroller of the Currency (OCC)
- Sub-Asset Maintenance ModelDeployedBEP-25 · Classical / predictive ML · Procurement and Financial Management · Bureau of Engraving and Printing (BEP)
- Inventory Replenishment ForecastDeployedBEP-42 · Classical / predictive ML · Procurement and Financial Management · Bureau of Engraving and Printing (BEP)
- IDV ModelDeployedBEP-67 · Classical / predictive ML · Procurement and Financial Management · Bureau of Engraving and Printing (BEP)
Comparable portfolios
Most similar technology mixSimilarity is the cosine of each agency's AI-classification counts (unreported excluded); agencies with 10+ records. Click to compare side by side.
Operational functions
Keyword-derived tagsField completeness vs. all agencies
Share of records with the field filledStage
100% vs 91%
High-impact designation
100% vs 88%
Topic area
91% vs 83%
AI classification
91% vs 82%
Problem
91% vs 84%
Benefits
91% vs 82%
Outputs
91% vs 79%
Sourcing
40% vs 44%
Start date
40% vs 39%
ATO
40% vs 43%
PII
43% vs 42%
Custom code
41% vs 47%
Bar: this agency. White tick: all agencies. A gap is a reporting gap, not a finding about the systems.