AInora
Use case

AI Teammate for Recruiting: Inbound Candidate Calls, Screening, Scheduling

An AI teammate for recruiting answers inbound candidate calls the moment they apply, screens CVs against your must-haves, books interviews on Greenhouse or Lever, and drafts intro emails ready for the recruiter to send. Voice and Slack in one product. EU-native. Humans make the hiring decisions.

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What Does an AI Teammate Do for Recruiting?

Recruiting has the same speed-to-lead problem as inbound sales - the candidate who applies and hears back in five minutes is dramatically more engaged than the one who hears back next Tuesday. Lead-response research by Oldroyd / MIT published in HBR (2011) found that contacting a web lead within five minutes versus thirty made the prospect substantially more likely to enter the process. The same dynamic applies to candidates - especially for in-demand roles where they are applying to ten companies the same evening.

Inbound candidate call coverage 24/7. Candidate sees the role on LinkedIn, calls the listed number at 21:00 - AI picks up, captures the basics (role of interest, current title, work-auth, salary band), books a recruiter screening on Cal.com or Calendly within 48 hours.

CV screening against must-haves. New CV hits the inbox or ATS - AI checks against the job's must-haves (years of experience, work authorisation, location, technology fit), tags pass/fail with reasons, queues passes for recruiter review.

Drafted intro emails. For candidates that pass screening, AI drafts a personalised intro email referencing their actual background, queued in the recruiter's Outbox.

Scheduling on the recruiter's calendar. Once the recruiter approves the intro email, AI books a 30-minute screening on a slot the candidate picked from a Cal.com link.

Pipeline hygiene in the ATS. Candidate stages updated, "no response in 7 days" candidates auto-nudged with a polite follow-up, lost-candidate reasons captured.

Reference checks. When a candidate reaches the offer stage, AI books reference calls and prepares the recruiter's question list.

Candidate experience tracking. Post-rejection NPS prompt sent automatically; feedback themes summarised weekly for the talent leader.

Internal stakeholder coordination. Hiring manager wants a debrief Slack on the morning's interviews - AI pulls notes from Greenhouse and posts a summary into the hiring channel.

What Ainora does NOT do

Ainora screens, schedules, and drafts. Hiring decisions remain with humans. See EU compliance section below for the GDPR Article 22 reasoning.

How Does It Work? A Real Slack Thread

Karolis - @Ainora, screen the 47 backend candidates from this week.
Ainora - Done.
  • 47 CVs pulled from inbox + Drive folder
  • 9 hit must-haves (5+ years Go, EU work-auth, mid-senior level)
  • 38 do not - saved with reasons in the candidate tracker
  • For the 9 strong ones, I drafted intro emails and held 30-min slots on your calendar

Trace: Gmail (inbox) → Drive (CV pulls) → ClickUp (tracker) → Cal.com (slots) → Gmail (drafts)

Result: 47 CVs screened, 9 ready-to-book candidates with intro emails staged in your Drafts.

What Does This Replace? Honest Math

The repetitive 60-80% of a sourcer or recruiter's day - first-pass screening, scheduling, follow-up, ATS hygiene - is what AI absorbs. The interview, the offer call, the relationship work - those stay with humans.

Cost (US)Cost (LT / EU mid-market)What gets covered
SourcerBLS OES 13-1071, human resources specialistsLT mid-market gross monthly via Valstybės duomenų agentūraFirst-pass CV screening, candidate outreach
In-house recruiterBLS OES 13-1071, human resources specialistsLT mid-market rangeScheduling, intro emails, ATS hygiene, candidate experience
Agency placement fee20-25% of first-year salary, typical18-25% typicalOne-off external hire
AinoraCustomCustomAll of the repetitive screening / scheduling / drafting layer above

AI handles screening and scheduling so your recruiters focus on the interview pass and the offer close - the parts that retain candidates against competing offers. One recruiter with AI runs the workload of two without the second salary.

How Does Ainora Differ from Single-Channel Alternatives?

ToolWhat it does wellWhere it stops
Greenhouse / LeverMature ATS for mid-market and enterprisePipeline tracking; not a multi-channel teammate; no native voice
Workday RecruitingEnterprise ATS inside the broader HCMEnterprise sales motion; configuration-heavy
Paradox / OliviaConversational candidate AI, mostly hourly retail / volume hiringHeavy on hourly volume; less suited to professional roles
HireVueOne-way video interview platform with AI scoringVideo-interview-only; AI scoring under regulatory scrutiny in NYC and EU
AinoraVoice + Slack + Teams + email in one product, six EU languages, EU-native, GDPR Article 22-awareSmaller team than the funded US competitors; not an ATS - integrates with one

“Greenhouse and Lever track your pipeline. Ainora picks up the candidate's call, screens the CV, drafts the intro email, books the screening - then writes it all back to the ATS.”

Why Does Voice Fit Recruiting Differently?

For recruiting, voice is the speed-to-lead channel. Candidates who pick up the phone the moment they see the role - especially senior or in-demand candidates - are the ones who get hired by whoever responds first.

Ainora's voice agent answers in under one second, captures the basics, books the screening, and posts to the recruiter's Slack. Same agent, same memory: when the recruiter reviews the morning's pipeline in Slack, the call from last night is already a candidate record in Greenhouse with a screening booked.

Concrete flow:

1.Candidate sees the role at 22:14 Tuesday, calls the listed number.
2.Ainora picks up in 800ms, captures the basics in two minutes, books the recruiter screening for Thursday 14:00.
3.Ainora opens a candidate record in Greenhouse with the call transcript and a one-line summary.
4.Wednesday 09:00: recruiter @mentions Ainora - "summarise last night's inbound calls." Ainora returns three candidates with role match, work-auth status, and screening times.

The candidate hears back in 800ms; the recruiter walks into the screening with full context already in the file.

EU Compliance for Recruiting

Recruiting AI is one of the most regulated AI use cases in the EU. The four constraints to manage:

GDPR Article 22Candidates have the right not to be subject to a decision based solely on automated processing where the decision produces legal or similarly significant effects. See GDPR Article 22. Ainora screens and schedules - it does NOT make hiring decisions. Pass/fail screening flags are recommendations a human recruiter accepts or overrides.
EU AI Act - high-risk (Annex III)AI systems used in recruitment for screening, evaluating candidates, or making hiring decisions are classified as high-risk under Annex III of the EU AI Act. Ainora's screening flow is built on a "recommend, human decides" model that satisfies the human-oversight requirement.
EU AI Act Article 50Candidate-facing voice agents must tell the candidate they are speaking to AI. See EU AI Act Article 50. Ainora opens every candidate call with an automated-system disclosure.
GDPR data minimisation and retentionCandidate data is collected only for the application, retained per your retention policy (typically 6-24 months for unsuccessful candidates depending on jurisdiction), and deleted on request.

Ainora screens, schedules, and drafts. Humans decide who gets hired. That is the line and it is not negotiable.

What Tools Does Ainora Already Talk To for Recruiting?

ATS

Greenhouse, Lever, Workday Recruiting

Calendar

Cal.com, Calendly, Google Calendar, Microsoft Outlook

Comms

Slack, Microsoft Teams, Gmail, Outlook

Workspace and trackers

ClickUp, Notion

Storage

Google Drive, SharePoint

Bridge

n8n + MCP for anything with an API

If your recruiting stack has an API, Ainora can connect through MCP or n8n. We add what clients ask for.

Frequently Asked Questions

Software that joins your recruiting team across phone, Slack, Teams, and email and executes the operational layer of the role: inbound candidate call pickup, CV screening, scheduling, intro emails, ATS hygiene. It is not an ATS and it does not make hiring decisions.

No. Ainora screens, schedules, drafts. Humans decide. This is by design and by GDPR Article 22 obligation.

Greenhouse and Lever are ATSes - they track pipeline. Ainora is the layer around the ATS - it picks up candidate calls, screens CVs, books screenings, drafts emails, then writes back to your ATS.

HireVue does one-way video interviews. Paradox does conversational candidate AI mostly for hourly volume hiring. Ainora is the multi-channel teammate for professional and senior recruiting, EU-native, GDPR Article 22-aware.

Article 22 restricts decisions based solely on automated processing. Ainora's screening produces recommendations, not decisions. The recruiter accepts or overrides. The recruiter's accept/override is the decision of record.

Voice channel goes live in 2-3 days. Full multi-channel deployment with ATS integration takes 1-2 weeks.

Custom. Pricing scales with application volume rather than seat count. Book a demo for a quote.

JB
Justas Butkus

Founder & CEO, AInora

Building AI digital administrators that replace front-desk overhead for service businesses across Europe. Previously built voice AI systems for dental clinics, hotels, and restaurants.

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