Policy-safe refunds & returns
Guide shoppers through RMA steps, eligibility windows, and label generation with rules that finance and legal sign off on—before AI touches money movement.
Refund bots that ignore policy create liabilities. Zee policy agents encode your windows, restocking fees, final-sale SKUs, and regional law snippets as structured checks. They can draft customer-facing explanations, create tickets, and queue finance review—but only execute money movement through paths your workspace explicitly allows.
What this agent pattern delivers
- Eligibility trees mapped from your help center and commerce data—not one-size-fits-all scripts.
- Automatic RMA creation and label flows when carriers and your OMS expose the right APIs.
- Escalation when sentiment spikes, order value crosses thresholds, or fraud signals appear.
- Immutable audit logs for regulators, marketplaces, and internal QA.
Automation and governance can coexist
The goal is fewer tickets stuck in “pending finance,” not fewer safeguards. Zee keeps both.
More Zee agent patterns
- Intent routing & triageStop treating every inbound message as equal when carts, tiers, and risk profiles differ.Explore use case
- Order-aware agent repliesEliminate “let me check with the warehouse” loops when webhooks already know the answer.Explore use case
- Sales copilot in chatTurn conversations into revenue without pushing shoppers to a dead-end bot script.Explore use case
- Social → private chat handoffPublic comments are discovery; private threads are where orders happen—bridge them deliberately.Explore use case
- Human handoff with full contextMake the transition from AI to human invisible to the customer but efficient for your team.Explore use case