Screen Hundreds of CandidatesIn the time one recruiter calls ten.
High-volume hiring is a calling problem before it is a hiring problem: hundreds of applicants, a handful of recruiters, and interview no-show rates that waste everyone's day. Resonera.ai screens candidates at volume, confirms interview attendance, and hands recruiters a filtered shortlist.
Recruitment calling is part of Resonera.ai, the AI call operations platform for Indian SMBs & MSMEs.
In bulk hiring — BPO, retail, field sales, logistics, delivery — a single opening can draw hundreds of applicants, and the vast majority fail on basic screening criteria: location, shift willingness, notice period, salary expectation, language or a specific certification. Recruiters spend most of their day establishing facts that a structured conversation could establish, and the good candidates wait in a queue while that happens.
Resonera's AI voice agent runs that first screening call across the whole applicant pool simultaneously, in the candidate's own language. It confirms the basics, records the answers against each candidate, and filters out anyone who does not meet the hard criteria — so recruiters open their day with a shortlist rather than a spreadsheet.
Interview no-shows are the second drain, and they are largely a follow-up failure. The same agent confirms interviews the day before, offers rescheduling to candidates who cannot attend, and re-engages candidates who went quiet. That converts a portion of would-be no-shows into either attended interviews or freed-up slots — and it happens consistently, which is the part human teams cannot sustain at volume.
Built for high-volume hiring
Screens the whole pool at once
Hundreds of first-round screening calls in parallel, instead of a queue that takes a recruiter days to clear.
Structured screening criteria
Location, shift willingness, notice period, salary expectation, language and certifications — captured identically every time.
Interview confirmation calls
Confirms the day before and offers rescheduling, converting silent no-shows into attended or freed slots.
11 Indian languages
Screens candidates across regions in their own language — essential for field, retail and logistics hiring.
Calls when candidates answer
Reaches candidates in the evenings and on weekends, when people who are currently employed actually pick up.
Every answer logged
Screening responses and transcripts written back against each candidate in your ATS.
What it handles for a recruitment team
- First-round screening calls across the entire applicant pool, in parallel.
- Hard-criteria filtering: location, shift, notice period, salary expectation and language.
- Interview scheduling, day-before confirmation and rescheduling offers.
- Re-engagement calls to candidates who went quiet mid-process.
- Offer follow-up and joining-date confirmation calls.
- Database reactivation across past applicants when a similar role opens.
AI calling for recruitment — FAQs
Can the AI screen candidates properly?
For structured first-round screening, yes. It confirms hard criteria — location, shift willingness, notice period, salary expectation, language and certifications — identically on every call and logs the answers. Judgement-based assessment stays with your recruiters, who receive a filtered shortlist instead of an unscreened list.
Does it reduce interview no-shows?
Yes. It confirms the day before and actively offers rescheduling rather than leaving candidates to simply not turn up, which converts a share of no-shows into attended interviews or slots you can reallocate.
Can it call candidates outside office hours?
Yes, and it usually should. Candidates who are currently employed answer in the evenings and on weekends — times when a recruiting team is not calling.
Which languages can it screen in?
Hindi, English and 11 Indian languages, which matters for field sales, retail, logistics and delivery hiring where candidates are most comfortable in a regional language.
Does it integrate with our ATS?
Yes. Screening answers, call outcomes and transcripts are written back against each candidate record over a native connector or REST API.