The potential of Artificial Intelligence (AI) to revolutionize industries is increasingly acknowledged, with Large Language Models (LLMs) poised to perform tasks comparably to humans, potentially transforming sectors like manufacturing. The AI market is estimated to grow significantly, reaching between $780 billion and $990 billion by 2027. Transformative AI applications require more than simple query-response systems; they need to act as agents capable of making decisions and taking actions, which is vital for complex processes like those in manufacturing. Agentic systems, consisting of multiple AI agents that collaborate and utilize tools, are emerging to provide value across operations. Examples include predictive maintenance and process optimization agents working together to enhance efficiency in manufacturing environments. MongoDB is highlighted as a key technology supporting these AI systems through its flexible document model, scalability, and data governance features, which facilitate the development and deployment of agentic systems. The use of multi-agent collaboration systems can optimize operations in manufacturing by allowing tailored AI agents to handle specific tasks effectively, improving operational efficiency and resource allocation.