Bio-Integrated ERP: Leveraging Biometric Feedback And AI Agentic Systems For Real-Time Compliance In Regulated Manufacturing

Abstract

The challenges of human error contributing to quality deviations and compliance failures persist in regulated manufacturing environments. Traditional ERP systems rely on retrospective quality assurance mechanisms. Bio-integrated ERP systems represent a paradigm shift toward predictive quality assurance by incorporating biometric monitoring technologies and AI agentic frameworks, which continuously monitor operator readiness and assess human cognitive capacity against the task required to be performed in real time. Heart rate variability, electrodermal activity, and eye tracking patterns from operators provide multidimensional assessments of operator physiological states during critical manufacturing tasks. The proposed integration framework encompasses data acquisition layers, AI-powered signal processing components, and agentic middleware architectures that enable autonomous decision-making and seamless data exchange between physiological sensing devices and core business logic modules. Multi-agent systems coordinate real-time compliance monitoring in sterile manufacturing operations, enabling proactive intervention before the emergence of cognitive or physical limitations can manifest as quality deviations. Technical implementation comprises consideration of data privacy requirements, sensor calibration protocols, agentic AI architectures, and computerized system validation requirements in regulated environments. The convergence of biometric monitoring, AI agentic tools, and adaptive automation forms the foundational architecture of next-generation manufacturing systems for optimizing human-machine interfaces in quality-critical operations.