Support
68% of tickets, deflected by an agent
A consultant built three automations for an 18-person e-commerce shop. The client is not named in the source. First, an AI support agent learned the product documents and the return policy. It answers common tickets alone. Second, a reporting pipeline pulls Shopify, Google Ads and Meta numbers into one weekly summary. Third, an invoice workflow reads vendor data and pushes it into the accounting system.
How it wentThe support agent deflected 68% of incoming tickets (consultant's claim). The three automations saved just under 30 hours a week in total. Two part-time support staff moved to complex issues and retention work. Revenue did not change. Capacity did.
Try it · based on the source's workflow
Build a support agent for [business name]. Train it only on these sources: [product documents], [return policy], and [FAQ list]. It may answer questions that those sources cover in full. For any other question, it must draft a reply and show it to me before sending. Each Monday, pull [sales platform], [ads platform] and [social platform] numbers into one summary in this format: [paste format]. Never quote a price or a delivery date that is not in the sources.
A starting template based on the workflow the source describes. Review it before you use it; you are responsible for what it does.