Manufacturing Resources
AI Implementation Roadmap - Manufacturing Edition
Proven 120-day playbook for implementing AI in manufacturing and industrial environments. Addresses safety validation requirements, OT/IT integration complexity, and production continuity concerns. Three-phase approach: Foundation (Days 1-40), Pilot (Days 41-80), Production (Days 81-120). Includes use case playbooks for predictive maintenance, quality inspection, and robotics. Features OT integration guide and worker change management. Built for manufacturing CIOs and operations leaders.
AI Ethics Guidelines - Manufacturing Edition
Comprehensive AI ethics framework for manufacturing addressing the physical-world consequences of industrial AI. Covers worker safety ethics (human-robot collaboration, automation safety), worker impact ethics (job displacement, reskilling, just transition), quality and product safety ethics, and environmental stewardship. Includes ethics review framework for manufacturing decisions, training program for factory floor, and case studies. Built for manufacturing leaders and ethics committees.
AI Security Blueprint - Manufacturing Edition
OT security architecture for manufacturing AI and industrial automation systems. Comprehensive framework covering network segmentation for AI-enabled OT, PLC and SCADA integration security, edge AI protection, industrial IoT security, and secure remote access. Addresses unique threats to manufacturing AI including production sabotage, safety system manipulation, and intellectual property theft. Aligned with IEC 62443, NIST CSF, and manufacturing cybersecurity standards.
AI Risk Assessment Matrix - Manufacturing Edition
Comprehensive AI risk assessment framework for manufacturing and industrial operations. Addresses worker safety risks from AI-controlled robots and automation, product quality risks from AI inspection and process control, operational risks from predictive maintenance and supply chain AI, and OT/IT convergence security risks. Includes FMEA-aligned risk scoring, safety-critical system assessment, and regulatory compliance for industrial AI. Built for manufacturing AI governance at scale.
AI Governance Framework - Manufacturing Edition
Comprehensive AI governance framework for manufacturing organizations deploying industrial AI. Addresses safety-critical AI applications, OT/IT integration, supply chain AI governance, and quality requirements. Covers predictive maintenance governance, robotics oversight, quality inspection AI, and production optimization. Features the 5 governance pillars adapted for industrial environments, safety-critical AI governance protocols, and maturity model. Built for manufacturing CIOs and CAIOs.