On average, a vacancy receives 250 applications, but only 4-6 candidates are invited for an interview. Recruiters spend 80% of their time processing applications, scheduling interviews, and communicating with candidates — tasks that can largely be automated. AI agents take this over, allowing recruiters to focus on the 20% that genuinely requires human judgment.
Sourcing and candidate discovery
The best candidates don't apply — they're passive and need to be found. AI agents search LinkedIn, GitHub, professional publications, and talent databases based on detailed profile criteria. They identify matching candidates, write personalized outreach messages, and automatically follow up.
- Boolean-free search: describe the ideal candidate in plain language
- Multi-platform sourcing: LinkedIn, GitHub, Stack Overflow, trade publications
- Personalized outreach based on candidate profile and interests
- Automatic follow-up and reply handling
CV screening and initial selection
AI agents screen applications for relevance and qualifications — without bias on name, gender, or background. They rank candidates by match percentage, extract relevant experience and skills, and generate a structured summary per candidate for the recruiter. This reduces CV screening time by 70-80% without quality loss.
Interview scheduling and onboarding
Scheduling interviews costs recruiters an average of 2-4 hours per vacancy in email back-and-forth. AI agents take this over completely. Post-hire, AI agents guide new employees through pre-boarding, increasing first-year retention by an average of 20-25%.
Match-AI builds AI agents for recruitment and HR teams that accelerate the hiring process and improve candidate experience — from sourcing to onboarding.
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