Summary
Our whitepaper, “From Pilot to Practice: Practical First Steps for Implementing AI in Manufacturing Operations,” examines why so many manufacturing AI initiatives stall after the pilot stage and what it takes to move to real operational impact.
AI adoption has grown steadily, but most organizations still struggle to scale beyond isolated trials. The challenge is rarely the technology itself. It is knowing where to apply AI first and how to integrate it into the workflows that actually drive production. This paper outlines a pragmatic, problem-first approach, starting with operational bottlenecks, building within existing MES, ERP, and PLM systems, and creating a foundation that scales across lines, plants, and functions.
What the Whitepaper Covers:
- Why AI adoption falls short when treated as a technology deployment rather than an operational capability.
- The move from experimentation to execution and what getting started right looks like in practice.
- Core principles for applying AI in asset-heavy, process-driven environments.
- Foundational use cases manufacturers can act on first, covering planning, quality, maintenance, documents, and shop-floor intelligence.
- How AI agents extend these use cases from surfacing insights to completing tasks autonomously.
- How AI works alongside existing systems rather than replacing them.
- The operational impact when AI is applied correctly.
- A phased adoption path that lowers risk while enabling scale.
- Key criteria for evaluating whether an AI solution is ready for real production environments.
Download the whitepaper to see how manufacturers are moving beyond pilots and embedding AI into everyday operations.
