article · customer support
Prepare your support knowledge before connecting AI
Prepare a small support FAQ with source IDs, ownership, revision dates, permitted answers, and escalation rules before connecting a drafting workflow.
Help a reviewer understand a request and prepare a source-backed response.
Use a narrow set of recurring questions with an approved FAQ. Escalate refunds, access changes, complaints, and unsupported questions.
Test message → duplicate check → approved FAQ analysis → review queue → human decision.
This is a synthetic design, not a tested business result.
The planned sequence is knowledge preparation → triage playbook → Make walkthrough → difficult-request testing → weekly maintenance. The playbook and illustrative walkthrough exist now; the other dedicated guides are planned.
Support triage playbook → Illustrative Make walkthrough
Keep sending and account changes behind human approval. The source owner maintains the FAQ and escalation rules.
Measure eligible volume, review time, corrections, exceptions, and duplicate failures. Establish a baseline before claiming improvement.
5 resources
article · customer support
Prepare a small support FAQ with source IDs, ownership, revision dates, permitted answers, and escalation rules before connecting a drafting workflow.
playbook · customer support
Plan a support-email review queue with clear routing, human approval, eight test cases, a manual fallback, and a baseline you can measure honestly.
walkthrough · customer support
Follow an illustrative Gmail-to-Make review-queue design using synthetic messages, an approved FAQ, validation checkpoints, and no sending step.
article · customer support
Test support drafts with eight normal and difficult cases, explicit routing expectations, source checks, human verdicts, and a record of corrections.
walkthrough · customer support
Specify a reusable Make draft-test harness with synthetic sheet fixtures, separate expected and observed results, induced failures, and human draft verdicts.
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