Applicant pre-screening by AI callback — automatic, on your criteria.
The candidate applied online. Your AI calls back, usually within minutes, checks the knock-out criteria (availability, shift readiness, qualifications), answers questions, and invites suitable applicants straight to a trial shift. Everyone else is declined politely, with a reason.
The problem
For high-volume roles, every applicant cools off before anyone calls
- ✗ For delivery, warehouse, hospitality or care roles, applications arrive in waves — no one can call back the same day by hand.
- ✗ Anyone called back after 24–48 h is often already in someone else's process.
- ✗ Recruiters ask the same knock-out questions over and over — availability, shift readiness, qualifications — instead of focusing on real candidates.
- ✗ Without pre-screening, no-shows and unsuitable applicants end up in the trial-shift calendar.
The solution
The AI calls back — instantly, consistently, around the clock
- ✓ Outbound, not inbound: the applicant doesn't wait on hold — the AI calls them, shortly after the online application.
- ✓ Checks exactly the criteria you define — required questions, knock-out questions, the desired outcome per role.
- ✓ Fit? → Invites straight to a trial shift and agrees a slot. No fit? → Declines politely, with a reason.
- ✓ Every call ends as a clear result — qualified / declined + reason — handed back to your system.
How a screening call works
From online application to trial shift
Application arrives
A candidate applies online for one of your roles. Name, number and position land in the list.
AI calls back
The AI dials the applicant, introduces itself as an assistant and names the role they applied for.
Pre-screening
You've stored the criteria per role — availability, shift readiness, qualifications. The AI asks them and answers questions.
Decision in the call
Criterion not met → polite decline with a reason. All criteria met → invitation to a trial shift and slot agreement.
Result handed back
A clear outcome per applicant — qualified / declined + reason + appointment — as a log to your recruiting.
Features
Built for high-volume recruiting
You define the criteria and the desired outcome — the AI runs every conversation just as consistently.
Outbound callback
The applicant gets called, not the other way around — shortly after the online application, while interest is still fresh.
Criteria per role
For each position you store required and knock-out questions (availability, shift readiness, language, qualifications) and the desired outcome.
Decides in the call
Qualifies suitable candidates and invites them straight to a trial shift — or declines politely and understandably.
Slot scheduling
Agrees free slots for a trial shift or interview right in the call, including confirmation.
Result log
A clear outcome per applicant with a reason — handed to your system, no manual rework.
GDPR & fair-use in mind
German servers, AI disclosure in the call, outbound only to applicants who asked to be contacted about the role.
Pilot
Test first, then roll out
We start with a manageable test run on a real or simulated applicant list — you see, on a concrete case, whether the pre-screening hits your criteria before anything goes live.
FAQ
Frequently asked questions
Does the AI call applicants, or only take incoming calls?
Outbound: the applicant applied online and the AI calls them back. That keeps interest fresh and takes the repetitive first conversations off your team.
How are the qualification criteria set?
Per role you store required and knock-out questions plus the desired outcome — e.g. "criterion not met → decline", "all criteria met → invite to a trial shift". The AI follows them exactly.
Is outbound calling legally clean?
We only call applicants who actively applied and left their number for contact about the role. The AI identifies itself as an AI in the call. We align the specific use case up front.
What happens to the result of a call?
Every call ends with a clear result per applicant — qualified or declined with a reason, plus any agreed appointment. It is logged and handed to your system.
Can we test it on a small set first?
That is exactly how we start. A test run on a manageable applicant list shows, on a concrete case, whether the pre-screening hits your criteria before anything is rolled out.
Let the AI run the first conversations.
A no-obligation pilot call. You bring a role and the criteria — we show the pre-screening on a concrete case.