Triage support emails and draft refund-policy replies
A consultant built a Claude agent that reads support Gmail, looks up orders, applies refund policy, drafts replies for human approval and creates triage records with optional Slack alerts. Task: Suggested implementation: A consultant configured Claude Projects with returns policy and brand voice guides. Using Gmail and Sheets connectors, the agent ingests unread support emails and an orders sheet containing final-sale, gift, and prior-return flags. For each email, the agent matches the order, executes a decision tree, and generates a triage record. Human role: Review drafted replies for policy accuracy and tone before sending.; tools: Claude. Human role: Source evidence is unavailable regarding specific human roles; the summary mentions human approval for drafts, but detailed workflow responsibilities are not disclosed.; limitations: Operating cost is approximately $0.05 per email ($4/day at 80 emails). Prerequisites include structured order data with specific flags and clear policy documents. Integration uncertainty exists regarding connector stability. Human approval is mandatory for all outbound communications to mitigate citation errors and tone issues..
Tools
Published on Agent Work Atlas:
Overview
A consultant built a Claude agent that reads support Gmail, looks up orders, applies refund policy, drafts replies for human approval and creates triage records with optional Slack alerts.
Workflow
Suggested implementation: A consultant configured Claude Projects with returns policy and brand voice guides. Using Gmail and Sheets connectors, the agent ingests unread support emails and an orders sheet containing final-sale, gift, and prior-return flags. For each email, the agent matches the order, executes a decision tree, and generates a triage record. Human role: Review drafted replies for policy accuracy and tone before sending.
Reported result
The author estimates saving 12–18 support hours weekly, assuming 70% of requests are routine. However, the source notes failures where correct decisions cite wrong policy sections and tone is inconsistent on hard cases. No verified metrics exist due to the source being a fictional demo with inaccessible original text.
Human role
Source evidence is unavailable regarding specific human roles; the summary mentions human approval for drafts, but detailed workflow responsibilities are not disclosed.
Limitations
Operating cost is approximately $0.05 per email ($4/day at 80 emails). Prerequisites include structured order data with specific flags and clear policy documents. Integration uncertainty exists regarding connector stability. Human approval is mandatory for all outbound communications to mitigate citation errors and tone issues.
Try it
Act as a support automation engineer. I need to pilot a Claude agent for triaging customer emails. Inputs: 1. [Replaceable: URL to Returns Policy PDF] 2. [Replaceable: URL to Brand Voice Guide] 3. [Replaceable: Gmail Account with test inbox] 4. [Replaceable: Google Sheet URL with columns: OrderID, Status, FinalSale, Gift, PriorReturn] Steps: 1. Upload policy and voice guides to Claude Projects. 2. Connect Gmail and Sheets. 3. Process 10 sample emails: match order, apply decision tree, draft reply, create triage record. 4. Output: A table with EmailID, DraftReply, PolicyCitation, and ConfidenceScore. Safeguards: - Do NOT send emails. - Flag any reply where policy citation is missing or confidence < 0.8. - Require human review of all drafts before any real deployment. Measure success by comparing manual drafting time vs. agent review time for the 10 samples.
Source reports are not independently verified. Publication date is the catalog publication date, not the original article date.