Building AI Agents That Actually Execute Workflows, Not Just Answer Questions Most AI agent demos look impressive because the environment is clean. A user asks something. The model understands it. The agent calls a tool. A nice response comes back. It feels like automation. But in a real business, that is usually the easiest part. The harder question is not: Can the AI call an API? The harder question is: Should the AI call this API, with this data, under this condition, for this customer, at this point in the workflow, without creating operational risk? That is where most “AI agents” start to break. A chatbot can answer a question. A workflow agent has to make progress through a business process. Those are different systems. Businesses do not run on prompts A lot of AI products still assume the main interface is conversation. The user types: “Can this customer get a refund?” The AI responds: “Based on the policy, this customer may be eligible.” That is useful, but it is not execution.…