Collaboration Must Sit At the Heart of Manufacturing’s Multi-Agentic AI Approach. Here’s How.

Large manufacturers increasingly deploy autonomous AI agents for tasks like maintenance and quality control, but these systems often operate in isolation without collaboration. This lack of integration hampers overall performance, as legacy data systems and infrastructure gaps prevent effective coordination among agents. Addressing data interoperability and building connected AI ecosystems are crucial for enhancing multi-agent collaboration in manufacturing.