Data Quality Assessment
AI agents are only as good as the data they work with. Master data accuracy, transaction completeness, and data governance maturity are the foundations. Most manufacturers score 50-70% on initial data quality assessments—adequate for starting, but with clear improvement paths.
- Master data accuracy: item, customer, supplier, BOM data quality
- Transaction completeness: are all operations recorded in the ERP?
- Data governance: who owns data quality, what are the processes?
- Historical data depth: 2+ years of clean data ideal for AI training
Process Maturity Evaluation
AI automation works best on processes that are standardized and documented. If every planner has their own approach, AI agents can't establish a baseline. Process maturity across planning, procurement, production, and quality determines automation potential.
- Standardized processes across sites and shifts
- Documented business rules and decision criteria
- Measurable KPIs for each process area
- Exception handling procedures defined and followed
Getting AI-Ready: A Practical Roadmap
Most manufacturers can achieve AI readiness in 60-90 days with focused effort. Start with a data quality sprint, document your top 10 processes, ensure API access to your ERP, and identify 3-5 high-value automation candidates. Netray provides a structured readiness program.
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RAG Readiness Assessment for ERP Documents
Ten questions that show whether your documents and ERP attachments are ready to feed a retrieval-based AI assistant.
Take our free AI readiness assessment—get your personalized readiness score.