Generate ISO 42001 & FedRAMP Ready
Evidence Packages from Quality Data

Go from quality metrics to audit-ready documentation. Our agent helps you produce the evidence needed for ISO 42001 certification and a FedRAMP "Ready" designation, grounded in your live data. Every compliance claim traces back to a validated wisdom_pattern.

01 Domain Quality Baseline

medical_diagnosis

Established C/C/V metrics from your BigQuery quality history. These become the baseline_performance anchor in the FDA PCCP.

91.7

Wisdom Score / 100

Domain health is strong.

30-day moving average for medical_diagnosis. No drift detected. 2 open patterns under review.

Active Wisdom Patterns

02 Quality Analysis

Run the AI Quality Engineer against your evaluation data. Findings drive every downstream compliance claim.

03 Manifesto Governance

The AI Quality Manifesto governs every compliance decision. Principles triggered by your quality findings are highlighted. This is what separates quality-grounded compliance from form-filling.

04 Compliance Generation Quality-Grounded

Run quality analysis first: compliance is generated from your findings.

✓ FedRAMP Ready Package OSCAL-Enabled

└─ System Security Plan (SSP) artifacts generated from platform configuration.
└─ Control implementation narratives linked to `wisdom_patterns` and HITL reviews.
└─ Continuous monitoring evidence via the NIST OSCAL agent.

✓ FDA PCCP Submission-Ready

└─ Pre-specified changes: grounded in detected wisdom_patterns
└─ Monitoring plan: based on drift patterns in quality baseline
└─ Human oversight: aligned with P01 · P03 · P04 escalation rules

✓ ISO 42001 Mapping 17 controls

└─ 8.1 Operation: Quality role assignments Junior → QE → Senior → Architect
└─ 9.1 Performance: C/C/V monitoring cadence from baseline
└─ 10.2 Improvement: HITL learning loop documentation

✓ Quality Roles Approval Chain

L1 Junior QE: Auto-approved: low severity findings

L2 QE: Sign-off required on critical findings

L3 Senior QE: Approval authority for pre-specified changes

L4 Architect: Domain charter governance

HITL Learning Loop

Human decisions on this evaluation will improve compliance detection quality for this domain. Every approved finding becomes an IntuitionCapture: a training signal that sharpens future PCCP pre-specified changes.