AI governance posture
Live registry of every AI/ML/LLM deployment, scored against NIST AI RMF and mapped to ISO/IEC 42001:2023.
5 clauses partial. AI policy, risk assessment, and operational planning are in place; pre-program use cases still need backfilled impact assessments and full data lineage. Targeting external certification audit Q4 2026.
Clause-by-clause readiness →Portfolio by risk tier
NIST AI RMF impact × likelihood × (6 − reversibility)
Open incidents
Unresolved
- low
INC-2026-003 · Model drift
Routing accuracy on the new SMB tier dropped from 0.91 to 0.78 over 4 weeks of deployment.
Top use cases by trustworthiness
Sorted by NIST AI RMF §1.2.5 average across 7 characteristics
- Tier 3Production
Internal HR policy Q&A bot
People Operations · Anthropic claude-haiku-4-5
86trust - Tier 2Production
Demand forecasting
Supply Chain · Internal MLOps forecast-arima-prophet-v1
86trust - Tier 1Production
Resume screening assistant
People Operations · Anthropic claude-sonnet-4-6
83trust - Tier 2Production
Transaction fraud scoring
Finance / Payments · Internal MLOps fraud-tabular-v3
83trust - Tier 3Production
Warehouse damage detection
Operations · AWS Rekognition Custom pallet-damage-v2
83trust - Tier 3Production
Engineering code completion
Engineering · GitHub Copilot copilot-business
80trust