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.
8 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 runsEvery month three scores become a composite, the composite becomes an ABCD grade under a forced distribution, and then the questions start: who has two D's in a row, who is trending up. This is how the line runs once an AI employee owns it: company-issued definitions, a deterministic engine, the same answer every time, and name lists scoped to the asker's role.
HR, HRBPs, department heads, and managers who need to see how a team is distributed
See how it runsOne promotional article a day: a topic that does not repeat, images at the right size, no wording the advertising law forbids, and a receipt from the Official Account backend proving it went out. This is how the line runs once an AI employee owns it: a fact sheet sets the wording, topics rotate by weekday, compliance runs before publishing, and every step is a real API call whose status is read back.
Brand and social media operators, growth teams behind a mini-program or app, and the one person running several accounts
See how it runsA reference link isn't a brief. This page covers how an AI employee measures a hit video's real cut rhythm, rewrites it with your brand, and stops twice for your approval before anything ships.
Brand, e-commerce and content teams asked to "make one like this" from a competitor's hit
See how it runs