AI Agent for Recruiting: Resume Screening to Booked Interview
An AI agent that checks a new application against real job criteria, scores it, and books a first-round interview for the candidates who actually qualify — no manual resume triage queue.
How it works
Commonly connects to
The problem this solves
A single open role can pull in dozens or hundreds of applications, and most of the actual work in early-stage recruiting is repetitive triage: does this person meet the baseline requirements, is their experience actually relevant, should they move to a first conversation at all. That triage step is exactly where a recruiter’s time gets consumed before they ever talk to a candidate.
Why this category specifically, right now
Screening is reportedly the most-adopted AI use case in talent acquisition, ahead of candidate communication, assessments, and sourcing, and the large majority of companies now use AI somewhere in their hiring process. Those are industry-wide adoption figures, not a claim about a specific Tunovix deployment — the point is that this pattern is already mainstream practice, not a speculative bet.
What actually happens, step by step
- Candidate application arrives through the careers page or job board, same as always.
- AI agent reads the resume and application against the specific role, not a generic keyword match.
- ATS lookup — checks the applicant tracking system for whether this candidate has applied before, is already in the pipeline for another role, or has prior notes on file.
- Screen against criteria — real, role-specific requirements set by the hiring team (years of experience, specific skills, location constraints), scored and explained, not a black-box pass/fail.
- Schedule interview — qualifying candidates get a real, bookable first-round slot, based on the interviewer’s actual calendar availability.
- Recruiter review — every screening decision is visible and reviewable; the agent surfaces its reasoning, it doesn’t quietly reject candidates with no trace.
Step 6 matters more here than almost anywhere else in this list: candidate trust in AI screening is genuinely low, and an opaque auto-reject is exactly the failure mode that erodes it further. Explainable scoring a human can check isn’t optional polish, it’s the actual design requirement.
What it doesn’t do
It doesn’t make the final hiring decision, and it shouldn’t auto-reject without a visible reason a recruiter can audit. This is screening — narrowing a large pool to a manageable, qualified shortlist — not a replacement for a recruiter’s judgment on who actually gets an offer.
What this connects to
Greenhouse, Lever, or Workable as the ATS, plus Calendly or the ATS’s own scheduler for interview booking, and Slack for notifying the hiring team when a strong candidate clears screening.
Try it
Run a live walkthrough — check which criteria a candidate meets, then choose what happens next.
What it costs
A screening agent connected to one ATS typically falls in the CRM-connected-agent range — see the full cost breakdown or run the calculator against your actual hiring volume. Get in touch to scope it against your real pipeline.
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