Shopify Returns Support Agent

Return automation must protect margins and customer trust, so the agent needs both policy context and approval rails. The useful version is specialized around the job, the channel, and the business data it can safely use. That makes the page a launch plan for a measurable workforce capability.

• Clear first-session goal mapped to a workforce blueprint
• Source-backed answers from the business systems that already matter
• Workflow execution with approval rails for risky or destructive work

Zeiko treats the agent as the orchestration layer between conversation, data, workflow, and human review. The agent can start simple, then expand across channels once the first workflow proves useful.

Track a small set of operational metrics before expanding the agent. The goal is not to automate every conversation on day one; it is to prove that the agent resolves, routes, or starts work better than the current manual process.