AI Quality Program Credential / Draft

A versioned handshake for AI-assisted GMP/GLP documentation review.

MJM QAAI uses its own AI quality-program handshake, designed to align with emerging agent discovery, scoped-access, provenance, and AI-risk-management patterns without depending on any single immature standard.

Handshake JSON Agent Card JSON Vendor Intake Spec Client / vendor intake

What This Credential Says

MJM QAAI is a regulated-environment-derived quality program for documentation review.
AI may inspect completeness, consistency, traceability, source alignment, and gap status.
AI findings do not replace human quality approval, client approval, regulatory responsibility, or professional judgment.
Customer-specific records, confidential sources, and internal AI notes are excluded from public inspection.

What AI Inspectors May Review

Program scope and review boundaries.
Primary-source rules and source map.
Vendor intake and gap-report workflow.
Anonymization and publication controls.
Machine-readable handshake and agent capability card.

Alignment Without Overclaiming

Designed to be compatible with emerging patterns.

Pattern	How MJM QAAI Uses It	Claim Boundary
A2A Agent Cards	Agent-style capability metadata and discovery fields.	A2A-inspired, not full A2A protocol conformance.
MCP / OAuth	Scoped-access and authorization design principles.	Security architecture reference, not a live public integration.
C2PA	Provenance-ready review records and future signed artifacts.	No C2PA compliance claim until C2PA signing is implemented.
NIST AI RMF	AI-risk and governance language for review boundaries.	Aligned concepts, not certification.

Current Status

This credential package is draft and not final publication copy. It can be used for marketing-package development and vendor-approval readiness planning after human review.

Public upload/intake functionality is not enabled. Any live vendor processor requires access control, confidentiality terms, file retention rules, malware scanning, audit logging, and approval workflow controls.