A customer asks for a refund, and the agent finds the order in the CRM, checks the returns policy and drafts a reply in under a minute. Then it stalls, because the refund approval sits in a finance system it was never connected to and the customer’s address doesn’t match between two databases. Gaps of this kind rarely surface in a demo, yet they decide how much an agent costs to run and whether anyone can trust it, which puts the bigger risk in agentic AI inside the business the agent is…