The job pages answer who an AI employee is and what it does. These pages answer something else: for one concrete line of work, where it used to get stuck, how it runs once handed over, where it has to stop for a person, and what acceptance looks like. Only lines we have actually run.
5 use casesThe first days of every month go into exporting attendance, reconciling what counts as overtime, and chasing each department. This is how that line runs once an AI employee owns it: your own pay period, approved-only overtime, per-department alerts, and a human check before anything goes out.
HR leads, people operations, shared-service teams
See how it runsThe daily report is copied every morning out of a handful of departmental sheets, and the formulas live in one person's spreadsheet. This is how that line runs once an AI employee owns it: overnight collection, your own formulas, header changes detected rather than silently absorbed, and source sheets never written back to.
Operating leads, heads of operations, business partners
See how it runsOutreach lists are built by scrolling the seller back office, and a lot of what turns up has already been invited. Repeat invites damage the account, and the local ledger never matches the platform. This is how the line runs with an AI employee: three dedupe passes, a preview you approve, sending exactly that list, and reconciling afterwards.
Cross-border e-commerce operators, creator BD, TikTok Shop sellers
See how it runsMonthly analysis means joining several differently-shaped sheets across client, channel, project and company, while the definitions live in a few people's heads. This is how the line runs with an AI employee: columns matched by name rather than position, definitions delivered per organization, and results kept as snapshots you can recompute.
Finance leads, shared-service finance, business analysts
See how it runsCross-border support is rarely hard, it is messy: several languages, the same questions over and over, three agents answering three different ways, and the few tickets that genuinely need escalation buried underneath. This is how the line runs with an AI employee: classify first, one source of policy across languages, risky items escalated.
Support leads, operations managers, TikTok Shop and Shopee sellers
See how it runs