Agency dossier · NCUA
National Credit Union Administration
6 reported use cases, 0.2% of all federal records. Rank reflects what was reported, not performance.
#29by records#21by deployed#6by high-impact#12by completenessof 41 agencies
Disclosure completeness85%Mean of 12 core fields
Technology portfolio
Click a segment for recordsMission mix
Topic area as reportedLifecycle
6 recordsWithin each stageHigh-impact · Gen./agentic
Deployed83%0%
Lifecycle timeline
By agency-reported start yearGenerative or agenticOther or unclassified6 of 6 records report a parseable start date
Position against all agencies
This agency vs the federal inventoryDeployed share100%vs 29%
High-impact share83%vs 12%
Generative or agentic0%vs 27%
Sourcing reported50%vs 44%
In-house development50%vs 28%
Disclosure completeness85%vs 67%
Cyan: NCUA. Ring: all 3,611 records. Differences describe reporting, not quality.
Governance evidence
5 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 50%No vendor on the standard list.
- Supervisory Stress TestingDeployed · High-impactNCUA_ONES-02 · Classical / predictive ML · Procurement and Financial Management · NCUA|ONES
- Risk Indicator ModelDeployed · High-impactNCUA_ONES-03 · Classical / predictive ML · Procurement and Financial Management · NCUA|ONES
- Moody’s Stress Test ModelingDeployed · High-impactNCUA-12-2025 · Classical / predictive ML · Procurement and Financial Management · NCUA|ONES
- ADCo MBS/CMO ModelingDeployed · High-impactNCUA-13-2025 · Classical / predictive ML · Procurement and Financial Management · NCUA|ONES
- CoStar CRE ModelingDeployed · High-impactNCUA-14-2025 · Classical / predictive ML · Procurement and Financial Management · NCUA|ONES
- Machine Learning Data ValidationDeployedNCUA_E&I-01 · Classical / predictive ML · Procurement and Financial Management · NCUA|E&I
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
100% vs 83%
AI classification
100% vs 82%
Problem
100% vs 84%
Benefits
100% vs 82%
Outputs
100% vs 79%
Sourcing
50% vs 44%
Start date
100% vs 39%
ATO
33% vs 43%
PII
100% vs 42%
Custom code
33% vs 47%
Bar: this agency. White tick: all agencies. A gap is a reporting gap, not a finding about the systems.