Moving Beyond Integration: A Practical Guide to Agentic Orchestration in the Enterprise
I spent most of last week looking at a supply chain dashboard for a retail client. On the surface, it looked modern—React frontend, microservices, plenty of Kafka events. But the actual work was still being done by people. When a shipment was delayed, a human had to look at the ERP, check a separate logistics provider's portal, manually draft an email to the warehouse, and then update a Jira ticket. We’ve spent twenty years building 'systems of record,' but we’re still forcing humans to act as the glue between them. By 2026, the goal isn't just to add another dashboard. We are moving toward a model where our architecture treats LLMs not as chatbots, but as a reasoning layer that orchestrates existing APIs. In real projects, this isn't about some sci-fi autonomous brain; it’s about 'tool-use'—giving an LLM a set of API definitions and a goal, and letting it figure out the sequence of calls to get the job done. This shift from hard-coded workflows to dynamic...