AI ASSURANCE · SPEQ SYNTHESIS
AI systems in GxP — the assurance registry
Regulators treat an AI system by what it decides, not what it is called. Each class below is framed for assurance — its Context of Use, the human oversight it demands, the AI-specific risks, and the qualification, evaluation, and monitoring it needs. The framing is SPEQ synthesis; the standards and frameworks it maps to are cited facts.
Generative & LLM
A retrieval-augmented copilot that answers regulatory and SOP questions from a grounded corpus with cited sources.
Oversight: human in the loopA general GenAI copilot embedded in quality and regulatory workflows to draft, summarize, and reformat content.
Oversight: human in the loopAgentic
Computer Vision
Predictive ML
ML predictive and soft-sensor models that inform process control, release decisions, or continued process verification.
Oversight: human in the loopML that detects safety signals and triages individual case safety reports in pharmacovigilance and drug safety.
Oversight: human in the loopAI that extracts and classifies content from documents for batch-record review, complaint triage, and data entry.
Oversight: human in the loopAI for clinical trial operations — patient matching, risk-based monitoring, and operational decision support.
Oversight: human in the loop