AI agents might be the real platform shift.
What's interesting about managed agents is that they can coordinate tools, maintain context, and execute workflows instead of simply generating responses.
Organizations working with firms like Thoughtworks, Accenture, EPAM, and GeekyAnts are increasingly looking at agent orchestration, governance, and production deployment challenges.
Has anyone here deployed agent-based workflows in production?
Top comments (2)
I think agent-based workflows are where many enterprise AI initiatives are heading. RAG solved the "knowledge access" problem, but most business value comes from completing tasks, not answering questions. The challenge is making agent decisions auditable and predictable enough for production environments.
Agent workflows in production usually become an operations problem before they become a model problem. Tool permissions, observability, fallback paths, and ownership matter as much as the orchestration logic.