AI Screening and Recruiting Automation for Greenhouse
Skima AI integrates with Greenhouse to screen resumes, rank candidates, rediscover past applicants, detect bot applicants and resume fraud, and conduct AI video interviews. No data migration required.
Five AI recruiting tools in one Greenhouse integration
Authenticate once through the Greenhouse Harvest API. Every AI capability below reads from Greenhouse and writes results back to the candidate record without migrating ATS data. No second login. No parallel platform.
Talent rediscovery
Skima AI uses semantic candidate matching and surfaces past applicants from your Greenhouse database when a new req opens. Explainable scores and shortlists write back to the candidate records inside Greenhouse.
Rediscovery →Candidate fraud detection
Skima AI detects bot applicants, templated and AI-generated resumes, and resume discrepancies before the Greenhouse interview stage. Fraud risk scores and anomaly signals write back to the candidate record. Skima AI never auto-rejects.
Fraud Detection →AI video interviewer
Automated AI interviews that launch the moment a candidate applies or reaches a Greenhouse stage you define. Structured summary, transcript, and scores against your job criteria write back to the candidate record.
AI Interviewer →Explainable AI matching
Skima AI provides evidence behind every match score: which skills aligned, which experience transferred, which criteria the candidate met or missed. Explainable AI your team can audit.
Explainable Matching →AI resume screening
Automated resume screening that batch processes every incoming application in Greenhouse, ranks & sorts candidates by fit, and highlights top candidates. Built for high volume recruitment without manual review time.
AI Screening →Why Greenhouse teams choose Skima AI integrations
Skima AI is built for Greenhouse's structured hiring standard. Every screening score, match explanation, and fraud rating writes back as structured data.
Automated AI recruiting inside Greenhouse
Greenhouse structures your hiring, while Skima AI adds automated resume screening, AI candidate ranking, fraud detection, and rediscovery that Greenhouse doesn't have natively.
Reduces manual resume review time
Skima AI automatically screens and shortlists every incoming Greenhouse application. Recruiters review ranked candidates, not raw stacks. Manual resume review time is cut in half.
Blocks bot applicants before interviews
Skima AI detects bot applicants, AI-generated resumes, and resume discrepancies before they reach your interview stage. Fraud risk writes back to the candidate record.
Explainable AI for every hiring decision
Every match score includes the evidence behind it: which skills aligned, which experience transferred. Explainable AI your team can audit and act on.
Reduces time-to-hire across every role
Automated screening and AI candidate matching reduce recruiter review time at every stage. Teams move faster from application to interview without manual bottlenecks.
Surfaces candidates already in your ATS
Skima AI scans your full Greenhouse candidate database and surfaces past applicants who match current open roles. Talent already in your ATS, found automatically.
How to set up Greenhouse AI integration
Skima AI integrates natively with Greenhouse without migrating ATS data. It pushes evidence-backed candidate notes back into common Greenhouse fields in real time.
Authenticate Greenhouse
Generate a Harvest API key with candidate, job, and application permissions. Paste it into Skima AI. The connection is established, and indexing of your candidate database begins immediately.
Skima AI works in the background
Every new application triggers automated resume screening. Your existing candidate database gets indexed for rediscovery. Fraud signals are evaluated. Nothing changes in how your team uses Greenhouse.
Results appear inside Greenhouse
Skima AI writes screening scores, match explanations, fraud risk ratings, and interview summaries back to the candidate record as structured data. Recruiters act from the same screen they already use.
AI layer inside Greenhouse. No separate login.
Skima AI works inside Greenhouse without requiring a separate login or manual data entry. Screening scores appear on the candidate profile. Fraud detection appears alongside application details. Interview summaries appear as structured notes. Match explanations appear next to your scorecards.
- Results written to the Greenhouse candidate record, not an external dashboard
- No additional Greenhouse seat or license required
- Existing Greenhouse permissions apply to all Skima AI outputs
- Compatible with Greenhouse structured interview workflow end-to-end
Enterprise-grade responsible AI for Greenhouse integrations
NYC Local Law 144
Bias audit completed and published. All Automated Employment Decision Tool requirements met for automated hiring decisions.
EU AI Act
High-risk AI transparency, explainability, and human oversight requirements met. Applies to candidate matching, screening, and JD optimization.
Bias Auditing
Adverse impact analysis covers every AI decision. Candidate matching, JD optimization, interview question generation, and candidate scoring.
Data Ownership
Your candidate data is never used to train models for other customers. Full data isolation between accounts. Your database stays your competitive advantage.
SOC 2 Type II Certified
Candidate data encrypted at rest and in transit. Infrastructure audited and certified to SOC 2 Type II standards.
Human in the Loop
AI recommends, your recruiter decides. Skima AI never auto-rejects a candidate and never auto-advances anyone to an offer.
Ready to automate screening in Greenhouse?
Frequently asked questions
Everything you need to know about the Greenhouse integration
Does Greenhouse use AI to screen resumes?
Greenhouse offers Talent Matching for candidate-to-job scoring and Real Talent for applicant fraud detection using IP and device signals. Neither screens resumes at the top of the funnel or ranks candidates before a recruiter reviews them. Skima AI adds automated resume screening that batch processes every incoming application, ranks candidates by fit, and writes shortlists back to the candidate record in Greenhouse.
Can we use AI to screen resumes or rank candidates in Greenhouse?
Yes, Skima AI connects to Greenhouse via the Harvest API and screens every incoming resume against the job criteria automatically. Candidates are ranked and sorted by fit. Shortlists and screening scores write back to the candidate record inside Greenhouse without migrating ATS data.
Does Skima AI work inside Greenhouse without requiring a separate login?
Yes, Skima AI integrates natively with Greenhouse through the Harvest API. Screening scores, match explanations, fraud risk ratings, and interview summaries all write back to the candidate record inside Greenhouse. Recruiters never leave the ATS or log into a separate platform.
Does Skima AI detect bot applicants in Greenhouse?
Yes, Skima AI detects bot applicants, AI-generated resumes, proxy applicants, and resume discrepancies before they reach your interview stage. Detection results write back to the Greenhouse candidate record as fraud risk ratings. Recruiters review the flag and decide how to proceed. Skima AI never auto-rejects.
How does Skima AI connect to Greenhouse?
Through the Greenhouse Harvest REST API without migrating ATS data. Generate an API key in your Greenhouse settings with candidate, job, and application permissions, provide it to Skima AI, and the connection is live. No IT ticket. Most teams connect in under 15 minutes.
Does Skima AI replace Greenhouse Talent Matching or Real Talent?
No, Skima AI works alongside both. Greenhouse Talent Matching gives a match score. Skima AI's explainable AI matching adds the evidence behind each score: which skills aligned, which experience transferred. Greenhouse Real Talent covers IP and device signals. Skima AI extends it with AI-generated resume detection, bot applicant signals, and resume discrepancy analysis.
Does Skima AI run automated AI interviews inside Greenhouse?
Yes, Skima AI runs AI video interviews the moment a candidate applies or reaches a Greenhouse stage you define. A structured summary, transcript, and scores against your job criteria write back to the candidate record. Recruiters review pre-screened candidates inside Greenhouse without scheduling manual phone screens.
Which AI screening solutions offer explainable AI for hiring decisions?
Skima AI offers explainable AI matching for Greenhouse. Every match score includes the reasoning: which skills aligned, which experience transferred, which criteria the candidate met or missed. This differs from black-box scoring tools that return a number without evidence. Explainable AI for hiring decisions means your team can audit every recommendation before acting on it.
What hiring tools identify resume discrepancies before background checks?
Skima AI detects resume discrepancies at the application stage, before background checks run. This includes inconsistencies between claimed employment history, qualifications, and verifiable signals. Fraud risk scores write back to the Greenhouse candidate record so recruiters can investigate or reject before the candidate reaches an interview or offer stage.
Is Greenhouse candidate data secure with Skima AI?
Skima AI reads from your Greenhouse instance via the Harvest API. Candidate data stays in Greenhouse. Skima AI does not copy it to a separate database, does not use it to train AI models, and does not require data migration. The connection is SOC 2 Type II certified, GDPR compliant, and encrypted at rest and in transit.