How is Spring AI being used in production across the software industry?

With Spring AI maturing rapidly, I'm curious about how organizations are actually using it in production beyond demos and proofs of concept.

I'd love to hear from teams that have deployed Spring AI in real-world applications.

• How has Spring AI performed in production in terms of reliability, scalability, latency, and developer productivity?
• What types of AI applications are you building with it?
• What advantages have you seen compared to Python-based frameworks such as LangChain?
• Are there any limitations or areas where LangChain still has a significant edge?
• Would you recommend Spring AI for enterprise Java applications, or do you still prefer Python for GenAI workloads?

I'm particularly interested in real-world experiences, production lessons learned, performance at scale, and reasons behind technology choices rather than tutorial or proof-of-concept examples.