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AI for status page updates works best in reverse: the status page feeds the AI, which matches outage tickets and replies only with what the page says.

AI for feature request tracking works when it tags the ask inside the ticket, links it to one request, and replies to everyone who asked once it ships.

AI for bug triage works in the support queue: it sorts not-a-bug from maybe and likely bugs, asks for missing details, and hands engineers a report a person confirms.

AI for developer support works when it answers docs and setup questions, looks up a developer's own requests, and hands possible bugs to engineers as a report.

AI for wholesale B2B orders works when it knows which retailer is asking, reads that account's prices and terms, drafts reorders for a person, and never grants credit.

AI for pre-sales questions works when it answers specs, fit and published prices, and hands quotes, discounts and big deals to sales with the lead filled in.

AI for returns management works when it sorts return tickets by reason: it answers policy and refund-status questions, and a person decides damaged items and refunds.

AI for shipping delay notifications works when it splits delays into not shipped and shipped late. Here is what each message must say, the triggers, and a setup.

AI for fraud-related support works when it reads the payment and order record, answers fast, and leaves every refund, cancel and account change to a person.