How It Works

1. 01

   Multi-Source Candidate Sourcing

   HR defines open role (title, level, location, skills required). AI searches 5+ candidate sources (LinkedIn, Indeed, GitHub, Stack Overflow, company career pages) using boolean searches (e.g., 'Python AND AWS AND London'), pulls candidate profiles, and filters by location, experience level, and must-have skills.

2. 02

   Personalised Outreach Email

   For each sourced candidate, AI crafts personalised email: references specific project they built ('Saw your open-source React component library-exactly the kind of work we need'), highlights role relevance, includes 1–2 details showing research (company, role, impact opportunity). Avoids generic spam language.

3. 03

   Initial Screening Voice Interview

   Interested candidates are invited to a 10-minute voice screening call at a time convenient to them (AI offers 3 time slots). AI agent asks 6 structured questions: background/experience, why interested in role, required salary range, notice period, work visa status (if applicable), availability to start. Captures and transcribes answers.

4. 04

   Screening Result Evaluation

   AI scores candidate on screening: aligned experience (yes/no), salary expectations align with budget (yes/no), availability within timeline (yes/no). Fit score 0–100. High fit (>75) auto-qualifies for next round; medium fit (60–75) reviewed by recruiter; low fit (<60) sent rejection email (personalised, encouraging future applications).

5. 05

   Interview Scheduling & Offer Generation

   Qualified candidates are offered a calendar link to schedule with hiring manager. AI sends reminder 24h before interview. Post-interview, if approved by hiring manager, AI generates an offer letter template (role, salary, benefits, start date) for HR to review/sign and send to candidate. AI tracks offer acceptance and sends onboarding checklist.