AI Explainability Pack
Model purpose, limitations and explanation audiences are not consistently documented.
OutcomeA prioritized explanation and documentation workplan.
TRUST PACKS
Trust Packs turn a specific customer problem into a clear outcome, delivery path and next action. They compose existing ETHORITY capabilities without blurring policy, assessment, reporting, monitoring or verification.
CURRENT CATALOG
The current catalog is defined or mapped. Guided and expert-led delivery remains explicit; no Pack is represented as automatically available or compliant.
Model purpose, limitations and explanation audiences are not consistently documented.
OutcomeA prioritized explanation and documentation workplan.
Model, data and deployment risks are not organized into an accountable plan.
OutcomeA risk and bias preparation roadmap grounded in documented gaps.
Clinical AI governance needs to span research, validation and future operational use.
OutcomeA coordinated clinical governance operating-model preparation plan.
Clinical and biomedical data lineage, access and accountability are difficult to coordinate.
OutcomeA structured data governance and provenance readiness plan.
Research AI programs need a governed path toward clinical translation.
OutcomeA staged translation readiness roadmap with explicit unknowns.
Unclear EU AI exposure and readiness priorities.
OutcomeA structured view of potential governance signals, gaps and next actions.
Human accountability, intervention and escalation points are unclear.
OutcomeA documented oversight and escalation preparation plan.
Unclear whether a medical or translational AI context needs further review.
OutcomeA structured potential classification view and explicit missing information for expert review.
Discover signals can recommend a Pack. The recommendation remains advisory until a customer chooses a guided or expert path. Pricing and commerce require separate approval.
Additional candidates such as AI Evidence Readiness, Monitoring Readiness and ISO 42001 Readiness remain separate from the current catalog until canonical dependencies and delivery are approved.