ATS Agent

Adds an agentic intelligence layer to your ATS. Every applicant is imported and their CV evaluated against the five criteria in your ideal candidate profile — then taken beyond the CV with talent assessments and a written applicant report.

Your ATS collects applicants. The ATS Agent evaluates them.

Job postings can bring in hundreds of applicants — more than most teams can properly review. Select a job and the ATS Agent imports every applicant and CV, then passes them on to be scored against the same ideal candidate profile. Nothing gets overlooked, and 500 applicants can be processed in under a minute.

Your ATSAshbyTeamtailorWorkday
app.talentmesh.com — Applicants imported

VP, Group Controller

500 applicants · 500 CVs
Jonas Weber
via IndeedCV imported
Fatima Al-Sayed
via LinkedInCV imported
Priya Nair
via StepStoneCV imported
Every CV handed to theRanking AgentHow ranking works

Every applicant · Every CV · Automatically imported.
Ready to be evaluated against the same ideal candidate profile.

What the ATS agent does — and doesn't

The ATS Agent brings applicant data into TalentMesh without changing anything in your ATS. And screening doesn't mean rejection. Every applicant is evaluated, every score is explained, and no one is automatically rejected.

What it does

  • Connects to your ATS. Works with all major ATSs including Ashby, Teamtailor and Workday.
  • Imports every applicant. Brings in every applicant and CV automatically, even across high-volume roles.
  • Passes every candidate to Ranking. Every candidate moves on to be evaluated against the five criteria in your ideal candidate profile.

What it doesn't

  • Import jobs you didn't select. Candidates come in only from the jobs you specifically ask the agent to import.
  • Read beyond the role. The agent only imports data that is relevant for evaluating the candidates, and cannot read anything else.

Keep your ATS. Add AI-powered evaluation.

Bring every applicant into an AI agent-powered evaluation process — without changing the ATS your team already uses.