HR & CareerHR & Talent Acquisition

    AI-Led Recruitment Automation & Candidate Intelligence

    From role intake to a scored, evidence-backed shortlist — at 10x scale.

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    80%
    Faster hiring
    42→~2d
    To evaluate
    4,000+
    Assessed at once
    10x
    Assessment scale
    Recruitment AutomationResume ScreeningCandidate RankingAI InterviewsFramework-Based AssessmentProctoringSkill ValidationHigh-Volume HiringCampus HiringStructured EvaluationEvidence ScorecardsShortlist AutomationBias ReductionATS Integration
    AI-Led Recruitment Automation & Candidate Intelligence — From role intake to a scored, evidence-backed shortlist — at 10x scale. | HR & Career AI case study by Wheelson BizAI

    By the numbers

    80%
    Faster hiring
    4,000+
    Candidates assessed at once
    10x
    Assessment scale
    24/7
    AI screening & interviews

    Before After

    Filtered before real eval75%Full-funnel scoring
    Time to close a role42 days~2 days at scale
    Tool switchingTests + video + reportsZero
    Screening hoursBusiness hours24/7

    Illustrative — based on high-volume hiring deployments; a single-day run has assessed 2,400+ candidates.

    Where volume hiring breaks

    The funnel breaks before the interview: thousands of resumes screened by hand, most candidates cut before any real evaluation, assessments scattered across tools, interview quality swinging by panel. 40+ days to close a role, costly mis-hires, and no record of why.

    The funnel, run by agents

  1. Role intake turns the requirement and skills into an evaluation rubric.
  2. Screening bulk-ranks resumes against that rubric, not keywords.
  3. Assessment auto-generates framework-based tasks in real environments.
  4. Interviews run structured or AI-led with live proctoring and consistent scoring — one prompt builds the whole multi-round flow.
  5. Shortlist comes ranked, with scores and reason codes.
  6. Fair, fast, and on the record

    Every candidate meets the same evidence-based bar, from ten applicants to ten thousand — 4,000+ assessed at once, evaluations in about two days, and a scored, auditable trail behind every advance. Proven across campus, technical, non-technical and lateral hiring.
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    AI-Led Recruitment Automation & Candidate Intelligence | Wheelson BizAI Case Study