AI Screening and Recruiting Automation for Oracle Recruiting Cloud

Oracle Recruiting Cloud offers Candidate Matching Ratings, but it does not screen resumes at the top of the funnel before recruiter review. Skima AI adds automated resume screening that batch processes every incoming application and writes shortlists back to the candidate profile inside Oracle Recruiting Cloud.

Yes, Skima AI connects to Oracle Recruiting Cloud via the Oracle Fusion Cloud HCM REST API and screens resumes against job criteria automatically. Candidates are ranked and sorted by fit. Shortlists and screening scores write back to the candidate profile inside Oracle Recruiting Cloud without migrating HCM data.

Yes, Skima AI integrates natively with Oracle Recruiting Cloud through the Oracle Fusion Cloud HCM REST API. Screening scores, match explanations, fraud risk ratings, and interview summaries all write back to the candidate profile inside Oracle Recruiting Cloud. Recruiters never leave the HCM or log into a separate platform. No second tool to learn.

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 Oracle Recruiting Cloud candidate profile as fraud risk ratings. Recruiters review the flag and decide how to proceed. Skima AI never auto-rejects.

Through the Oracle Fusion Cloud HCM REST API via OAuth 2.0 authentication, without migrating HCM data. Register the integration through the Oracle Cloud Marketplace partner onboarding process, authenticate with your Oracle Recruiting Cloud credentials, and the connection is live. Your recruiting data stays inside Oracle Recruiting Cloud. No IT project required.

Yes, Skima AI scans your Oracle Recruiting Cloud candidate database, including candidates in Candidate Pools and past applicants marked Rejected by Employer on previous job requisitions. When a new job requisition opens, Skima AI uses semantic matching to rediscover candidates who fit, ranked with explainable scores. Results are written back to the candidate profile before your team sources externally.

Yes, Skima AI runs AI video interviews the moment a candidate applies or reaches a Candidate Selection Process phase you define. A structured summary, transcript, and scores against your job criteria write back to the candidate profile. Recruiters review pre-screened candidates inside Oracle Recruiting Cloud without scheduling manual phone screens.

Skima AI offers explainable AI matching for Oracle Recruiting Cloud. 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.

Skima AI detects resume discrepancies at the application stage, before background checks start. This includes inconsistencies between claimed employment history, qualifications, and verifiable signals. Fraud risk scores are written back to the candidate profile so recruiters can investigate or reject before the candidate reaches an interview or offer stage.

Skima AI reads from your Oracle Recruiting Cloud instance via the Oracle Fusion Cloud HCM REST API. It does not copy candidate data to a separate database, does not use it to train AI models, and does not require HCM data migration. The connection is SOC 2 Type II certified, GDPR compliant, and encrypted at rest and in transit.

Yes. Skima AI writes screening results, match scores, and fraud ratings to the candidate profile in Oracle Recruiting Cloud. Since Oracle Recruiting Cloud is part of Oracle Cloud HCM, candidate data enriched by Skima AI flows into downstream HR and onboarding modules when a candidate is hired, without manual re-entry.