AI interview scheduling finds times that work for a candidate and every interviewer, books the room or video link, and handles the reschedules, reading live calendars and writing each change back to the ATS. It decides when people meet, never who goes through.
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Single-interviewer booking is solved: send a link, the candidate picks a slot. What still eats coordinator time is everything around that. A panel of four across two time zones, where one interviewer must come before another. A hiring manager whose calendar shows free but who never takes calls on Fridays. A candidate who can only talk after work and needs to move the second round twice. Most interview scheduling software handles the first case well and hands the rest back to a person.
An agent closes that gap by working the way a good coordinator does: it reads real availability from Google Workspace or Microsoft 365, respects the soft rules people actually have, proposes options to the candidate in plain language, and renegotiates when something moves. Every booking and change is written back to Greenhouse, Lever, Workday or Bullhorn, so the ATS stays accurate.
a recruiter advances the candidate
interviewers, rooms, soft rules
in the candidate’s time zone
invites, links and room
interview record in the ATS
no slot within the window, or a special request
If your ATS already has a scheduling module and your interviews are mostly one-to-one, use it. Dedicated tools add panel support and self-service rescheduling. A custom agent makes sense when your loops are complex, when you run several ATSs across clients, as many agencies do, or when coordinators still spend hours on exceptions the tools hand back.
Scheduling that only arranges meetings a recruiter has already decided on does not filter or evaluate candidates, which is what the high-risk category describes. We keep it that way by design: the trigger is a human decision and nothing about the candidate affects the booking. The classification of your own system remains your determination.
Yes. Interviewers on one and clients or hiring managers on the other is common in agency work. The agent reads free and busy information through each provider’s official API with the narrowest permissions that work, and never reads the content of meetings.
What we built, what stage it is at, and a link to the live thing wherever there is one.
yourOS is an operating system with an AI at its heart. You talk to it like a person, out loud or typed. It makes your calls, plans your days and works on your projects with a crew of agents, on your own private server. Our own product, built from the first commit; the waitlist is open.
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We start with the loops that take longest to book, and measure the exceptions.
30-minute technical call · no deck