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AI for utilities customer service works lane by lane: outage questions from the outage map, bills from the account, shut-offs and gas smells to people.

AI for airline customer service works on a storm day when it answers status and rebooking questions from policy, drafts refunds for a person, and never improvises.

AI for major incident communication works when every channel reads from one verified incident record, AI drafts, a person approves, and nothing goes out unverified.

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.