Accelerating AI Adoption A Practical Guide for Manufacturers

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Manufacturing leaders already hold high-value operational data across ERP, MES, SCADA, PLC historians, and IoT-connected assets—most of it underutilised across the plant floor.

This guide covers three pillars of practical AI adoption in manufacturing, including:

• Data foundation to identify, prepare, and enrich ERP, MES, and machine data for AI readiness
• Use case prioritisation across predictive maintenance, AI-assisted scheduling, anomaly detection, and conversational ERP
• Implementation roadmap to align teams, secure buy-in, and scale from pilot to production

Get a nine-step AI implementation checklist and first-initiative planning worksheet built for plant and operations leaders managing lean teams in complex manufacturing environments.