Once more than a couple of people are updating the same sheet, "who has the latest version" starts costing real time — usually first noticed when two recruiters both reach out to the same candidate.
Questions like "how many candidates are mid-screening for this client" or "who dropped off and where" are trivial in a system built for it, and nearly impossible to answer quickly in a spreadsheet once volume passes a few dozen active candidates.
When a recruiter is out, covering their roles means reconstructing status from chat threads and memory. A shared screening pipeline keeps that context attached to the candidate, not the person.
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AI-powered candidate screening over WhatsApp, built for recruitment agencies.