The Role of Orchestration in AI Workflows Explained | AVI Business Solutions The Role of Orchestration in AI Workflows Explained Let’s start with a familiar scenario: a pilot demo that looks impressive in the lab suddenly falls apart the instant it encounters real customer data, a legacy database, or a compliance requirement. Sound familiar? This is where most enterprise AI budgets stall—caught between a promising prototype and a reliable system your operations team can trust. That’s where orchestration steps in. Think of it as the operating layer that bridges this gap: it connects AI agents to approved tools and systems, steps in to handle exceptions when things go wrong, and knows when it’s time to call in a human. Orchestration turns isolated models and agents into a single, controlled, auditable system. Instead of ending up with a collection of chatbots that each answer just one question, you get a machine that can reliably run multi-step bus...