Conclusion
Deploying Trustworthy AI for Industrial Maintenance

This article presents a structured methodology for deploying AI to assist with industrial maintenance, from initial scoping to operational maintenance. The approach is based on five stages (SDG scoping, document governance, agent-based design, IVVQ, and operational maintenance), marked by four decision gates (W0 through W3) that require measurable evidence at each transition.

Three core beliefs underpin this entire discussion.

• The deployment of industrial AI is a true engineering project, not merely a technological experiment. It requires rigorous scoping, clearly defined success criteria, and structured governance—much like the integration of new equipment or the implementation of a quality management system.

• Trust is built on evidence, not promises. End-to-end traceability, non-regression...