Agentic Architecture: Moving Beyond Chatbots to Actionable Enterprise Workflows
Last year, I spent about six months sitting in meetings where the only topic was RAG (Retrieval-Augmented Generation). Every business unit wanted a chatbot that could read their PDFs. We built a few, and they worked, but the feedback was always the same: 'This is cool, but I still have to manually update the ERP system afterward.' The novelty of an AI that talks is wearing off. Stakeholders now want AI that actually does the work. In real projects, we’re seeing a shift from passive bots to 'agents'—software components that use LLMs to decide which APIs to call and when. This sounds great in a demo, but from an architecture perspective, it’s a nightmare if you don't have the right plumbing. We aren't just managing data flows anymore; we’re managing autonomous decision-makers. If you don't wrap these agents in the same rigors as your microservices, they will cause production outages that are incredibly hard to debug. To move from a chatbot to an agentic s...