Automate refund handling from receipt to audit-ready logs.
This AI agent continuously monitors Gmail for refund requests, extracts the order ID and reason, and fetches the corresponding order data from Shopify. It evaluates eligibility based on delivery status and routes approved refunds or flags cases for manual review. All actions are logged in Google Sheets and customers and internal teams are notified automatically, delivering an auditable AI agent processing flow.
Handles refunds from intake to final resolution.
Capture refund requests from Gmail by monitoring unread messages with the subject 'Refund Request'.
Extract the order ID and refund reason using the AI model.
Fetch order details from Shopify using the extracted order ID.
Evaluate eligibility based on the order status (e.g., Delivered).
Auto-approve eligible refunds or route to manual review and notify the customer and team.
Log all actions and outcomes in Google Sheets for auditing.
This AI agent turns inbound refund notices into a structured, auditable process. It converts inbound refund emails into reliable data, validates against Shopify order status, and closes the loop with customer and internal team notifications and a complete Google Sheets log.
A simple 3-step process anyone can follow.
Detect unread emails with the subject 'Refund Request' and extract the order ID and reason using the AI model.
Retrieve order details from Shopify using the extracted ID and determine eligibility based on delivery status.
If eligible, auto-approve and notify the customer; otherwise route for manual review and log all actions in Google Sheets.
One realistic scenario showing task, time, and outcome.
On Monday at 10:15 AM, a Gmail message with 'Refund Request' arrives for order #A12345. The AI agent extracts the order ID and reason, fetches order details from Shopify, and determines delivery status. Since the order was Delivered, the refund is auto-approved and a confirmation is sent to the customer while the team is notified and the action is logged in Google Sheets. The customer receives an approval message within minutes and the incident is auditable.
Roles that gain from this AI agent in practical terms.
Automates refund intake and ensures consistent communication with customers.
Reduces manual workload and enforces policy-compliant decisions.
Provides auditable logs and standardized eligibility checks for refunds.
Delivers measurable refund handling metrics and faster issue resolution.
Monitors workflow for compliance and data integrity across refunds.
Extends rules and integrations to fit evolving refund policies.
Tools used and what the AI agent does inside each.
Monitors inbox for unread messages with 'Refund Request' and passes content to the AI agent.
Provides order details and status for eligibility checks.
Stores complete logs of refunds, decisions, and communications for auditing.
Runs the AI reasoning to extract order IDs and reasons from emails.
Six practical scenarios where this AI agent shines.
Common questions about this AI agent and its operation.
If the AI agent cannot determine a valid ID, the request is flagged for manual review and logged in Google Sheets. The customer is asked to resubmit with clear information, and internal teams receive a notification to review the original email. This ensures refunds are only processed with traceable data and proper references.
Yes. The AI agent applies configured rules for partial refunds when the order data indicates eligible quantities and values. If partials require additional approvals, it routes to manual review with full context, and the customer is informed of the decision and rationale. All related actions are recorded in Google Sheets.
The AI agent processes data within your approved workflows, using secure connections to Gmail, Shopify, and Google Sheets. Access is controlled by existing permissions, and logs are stored in your account. Compliance policies and data minimization practices should be applied to protect privacy.
Yes. Refund rules can be extended to include more criteria (e.g., time since delivery, reason codes, customer history). Changes are propagated to the AI agent with minimal downtime, and you can test them in a staging environment before production.
Auto-approved refunds are usually completed within minutes of receipt. Manual-reviewed cases are notified immediately, and the Google Sheets log updates in real time as statuses change, providing full traceability.
The current setup targets Gmail-triggered refunds, but the workflow can be extended to other channels by adding corresponding triggers and data extraction steps. Each extension follows the same end-to-end pattern: capture, fetch, evaluate, notify, and log.
All refund actions, decisions, and communications are recorded in Google Sheets for auditing. Access controls mirror existing permissions, and you can export logs for reporting. The logs provide a complete, timestamped history of every refund decision.
Automate refund handling from receipt to audit-ready logs.