Five platforms, read from their own vendor documentation, not from the industry's usual secondhand summaries. Each explainer states what the platform's own screening tools do, in the platform's own named terms, with a verified-as-of date and its sources listed in the open. What a specific employer configured inside that platform is never visible to anyone, including us; every page says so plainly.
Greenhouse's Talent Matching feature, on its Plus and Pro plans, compares an applicant's resume against a weighted calibration: a rubric the hiring team defines before scoring starts. A separate scorecard-attributes feature and an AI Keyword Suggestions tool add further filtering, built from the job title and description. What Greenhouse's tools do is documented; what any one employer configured inside them is not visible to anyone, including us.
Learn more about Greenhouse →Lever’s AI-generated scorecards evaluate candidates across four named dimensions: Technical, Leadership, Culture Fit, and Communication, each paired with an explicit advancement recommendation. Candidates move through visible pipeline stages (Sourced, Applied, Screen, Interview, Offer), with dashboards flagging where someone is "sitting too long." Lever’s own product page describes no automatic resume scoring or auto-rejection; the scorecards and stages are evaluator tools, not a silent filter.
Learn more about Lever →Ashby's AI-assisted application review scores a candidate against criteria the recruiter defines, returning, for each criterion, one of three statuses: meets, does not meet, or undecided, in Ashby's own words, alongside an overall criteria-met percentage. Ashby documents no way for that AI review to reject anyone by itself. The one automated reject it documents keys off application-form answers, like location, not the resume.
Learn more about Ashby →Workable’s paid Workable Agent add-on evaluates a candidate against up to 14 job-specific criteria (named examples include authorization, salary, hybrid days, and certifications), each scored independently and normalized to a 0-100 scale, per Workable’s own product page. Workable states obvious disqualifications are filtered automatically, and that the recruiter, not Workable, configures the screening thresholds and scoring weights.
Learn more about Workable →BambooHR's own applicant tracking system product page makes no claim of AI resume scoring, keyword matching, or scorecard ranking, none. It describes job-board posting, candidate management, automated communications, e-signature offers, self-scheduled interviews, and background checks. A separate ecosystem of third-party add-ons sells AI screening bolted onto BambooHR, but that is not BambooHR's own feature or claim.
Learn more about BambooHR →| Platform | Native scoring tool | Verified |
|---|---|---|
| Greenhouse | Yes, see the explainer for the named mechanism | 2026-07-24 |
| Lever | Yes, see the explainer for the named mechanism | 2026-07-23 |
| Ashby | Yes, see the explainer for the named mechanism | 2026-07-24 |
| Workable | Yes, see the explainer for the named mechanism | 2026-07-23 |
| BambooHR | None, native | 2026-07-23 |
No major applicant tracking system computes a single resume score and auto-rejects candidates below a threshold as its default behavior, based on the vendor documentation surveyed across this hub. Real ATS platforms parse, store, and search resumes, then route them to a recruiter, who makes the reject decision. Where an application is auto-rejected with no human involved, it typically traces to an application-form knockout question, such as work authorization, location, or a minimum degree, not to a score computed from the resume's content.
Yes. SHRM's 2025 Talent Trends survey of 2,040 HR professionals found AI use in HR rose from 26% in 2024 to 43% in 2025, with 51% using AI to support recruiting and 44% specifically to screen resumes. SHRM discloses that its panel is self-selected rather than a random sample, so treat it as directional trend evidence, not a precise population estimate.
Among employers who have already adopted a recruiting management system, most say they lean on it heavily for the first cut: a Harvard Business School and Accenture study of 2,275 executives found 94% of middle-skills employers and 92% of high-skills employers using such a system relied on it to screen candidates. That figure describes reliance conditional on adoption, not how many employers use a system in the first place, which no reliable public source measures.
Related: this hub covers the mechanics vendors publish about their own tools. For how often companies actually hire through each platform, see Meridino's first-party research on ATS platform share. For how a resume gets screened within a specific role, plus the live roles Meridino is tracking in it, see our job-family guides.
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