AI Screening and Recruiting Automation for Rippling
Skima AI integrates with Rippling 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 Rippling integration
Authenticate once through the Rippling API. Every AI capability below reads from Rippling and writes results back to the candidate profile without migrating ATS data. No second login. No parallel platform.
Talent rediscovery
Skima AI uses semantic candidate matching and surfaces past applicants from your Rippling database when a new req opens. Explainable scores and shortlists write back to the candidate profiles inside Rippling.
Rediscovery →Candidate fraud detection
Skima AI detects bot applicants, templated and AI-generated resumes, and resume discrepancies before the Rippling interview stage. Fraud risk scores and anomaly signals write back to the candidate profile. Skima AI never auto-rejects.
Fraud Detection →AI video interviewer
Automated AI interviews that launch the moment a candidate applies or reaches a Rippling stage you define. Structured summary, transcript, and scores against your job criteria write back to the candidate profile.
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 Rippling, ranks and sorts candidates by fit with evidence-backed scores, and highlights top candidates. Built for high volume recruitment without manual review time.
AI Screening →Why Rippling teams choose Skima AI integrations
Skima AI is built for Rippling's structured hiring standard. Every screening score, match explanation, and fraud rating writes back as structured data.
Automated AI recruiting inside Rippling
Rippling scores applicants with Application Review, while Skima AI adds fraud detection, evidence-backed scoring, and candidate rediscovery that Rippling doesn't include natively.
Reduces manual resume review time
Skima AI automatically screens and shortlists every incoming Rippling 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 profile.
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 Rippling candidate database and surfaces past applicants who match current open roles. Talent already in your ATS, found automatically.
How to set up Rippling AI integration
Skima AI integrates natively with Rippling without migrating ATS data. It pushes evidence-backed candidate notes back into common Rippling fields in real time.
Authenticate Rippling
Generate a Rippling API token 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 is scored and ranked by Skima AI. Your existing candidate database gets indexed for rediscovery, and fraud signals are evaluated on each applicant. Nothing changes in how your team uses Rippling.
Results appear inside Rippling
Skima AI writes screening scores, match explanations, fraud risk ratings, and interview summaries back to the candidate profile as structured data. Recruiters act from the same screen they already use.
AI layer inside Rippling. No separate login.
Skima AI works inside Rippling 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 feedback forms.
- Results written to the Rippling candidate profile, not an external dashboard
- No additional Rippling seat or license required
- Existing Rippling permissions apply to all Skima AI outputs
- Compatible with Rippling's structured interview workflow, from application to offer
Enterprise-grade responsible AI for Rippling 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 Rippling?
Frequently asked questions
Everything you need to know about the Rippling integration
Does Rippling use AI to screen resumes?
Yes, Rippling's Application Review feature scores applicants against job criteria. It does not detect bot applicants or resume fraud, surface past candidates already in your database, or show evidence behind a match. Skima AI adds those capabilities and writes results back to the candidate profile without duplicating your Rippling data.
Can we use AI to screen resumes or rank candidates in Rippling?
Yes, Skima AI connects to Rippling via the Rippling API and screen resumes against job criteria automatically, alongside Rippling's own Application Review. Candidates are ranked and sorted by fit, with evidence behind each score. Shortlists write back to the candidate profile without migrating ATS data.
Does Skima AI work inside Rippling without requiring a separate login?
Yes, Skima AI integrates natively with Rippling through the Rippling API. Screening scores, match explanations, fraud risk ratings, and interview summaries all write back to the candidate profile as notes and tags inside Rippling. Recruiters never leave the ATS or log into a separate platform to review AI results.
Does Skima AI detect bot applicants in Rippling?
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 Rippling candidate profile as fraud risk ratings. Recruiters review the flag and decide how to proceed. Skima AI never auto-rejects.
How does Skima AI connect to Rippling?
Through the Rippling REST API without migrating ATS data. Generate a Rippling API token in your account's API Tokens settings with candidate, job, and application permissions, provide it to Skima AI, and the connection is live. Generating the token requires no IT ticket. Typical total setup time is not independently verified.
Does Skima AI help to rediscover candidates already in my Rippling ATS database?
Yes, Skima AI sources candidates from your Rippling candidate database, including archived applicants and candidates who didn't advance in previous roles. When a new req opens, Skima AI uses semantic matching to surface past applicants who fit, ranked with explainable scores. Results write back to the candidate profile inside Rippling before your team sources externally.
Does Skima AI run automated AI interviews inside Rippling?
Yes, Skima AI runs AI video interviews the moment a candidate applies or reaches a Rippling stage you define. A structured summary, transcript, and scores against your job criteria write back to the candidate profile. Recruiters review pre-screened candidates inside Rippling without scheduling manual phone screens.
Which AI screening solutions offer explainable AI for hiring decisions?
Skima AI offers explainable AI matching for Rippling. 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, including Rippling's own Application Review, which returns a score without showing the evidence behind 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 Rippling candidate profile so recruiters can investigate or reject before the candidate reaches an interview or offer stage.
Is Rippling candidate data secure with Skima AI?
Skima AI reads from your Rippling instance via the Rippling API. Candidate data stays in Rippling. 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.