AI Screening and Recruiting Automation for symplr Recruiting
Skima AI integrates with symplr Recruiting 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 symplr Recruiting integration
Authenticate once through the symplr Recruiting API. Every AI capability below reads from symplr Recruiting and writes results back to the candidate profile without migrating ATS data. No second login.
Talent rediscovery
Skima AI uses semantic candidate matching and surfaces past applicants from your symplr Recruiting database when a new requisition opens. Explainable scores and shortlists write back to the candidate profiles inside symplr Recruiting.
Rediscovery →Candidate fraud detection
Skima AI detects bot applicants, templated and AI-generated resumes, and resume discrepancies before the symplr Recruiting 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 symplr Recruiting pipeline 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 symplr Recruiting, ranks & sorts candidates by fit, and highlights top candidates. Built for high volume recruitment without manual review time.
AI Screening →Why symplr Recruiting ATS teams choose Skima AI integrations
Skima AI is built for symplr Recruiting's configurable hiring workflows. Every screening score, match explanation, and fraud rating writes back as structured data.
Automated AI recruiting inside symplr Recruiting
symplr Recruiting manages your requisitions and pipeline, while Skima AI adds automated resume screening, AI candidate ranking, fraud detection, and rediscovery that symplr Recruiting doesn't have natively.
Reduces manual resume review time
Skima AI automatically screens and shortlists every incoming symplr Recruiting 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 symplr Recruiting candidate database and surfaces past applicants who match current open requisitions. Talent already in your ATS database, found automatically.
How to set up symplr Recruiting AI integration
Skima AI integrates natively with symplr Recruiting without migrating ATS data. It pushes evidence-backed candidate notes back into common symplr Recruiting fields in real time.
Authenticate symplr Recruiting
Request API access with candidate, requisition, and application permissions through symplr's integration team. Provide the credentials to Skima AI. The connection is established, and indexing of your candidate database begins once access is confirmed.
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 symplr Recruiting.
Results appear inside symplr Recruiting
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 symplr Recruiting. No separate login.
Skima AI works inside symplr Recruiting ATS without requiring a separate login. Screening scores appear on the candidate profile. Fraud detection appears alongside application details. Interview summaries appear as structured notes. Match explanations appear next to interview feedback.
- Results written to the symplr Recruiting candidate profile
- No additional symplr Recruiting seat or license required
- Existing symplr Recruiting permissions apply to all Skima AI outputs
- Compatible with symplr Recruiting's configurable hiring workflows
Enterprise-grade responsible AI for symplr Recruiting 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 symplr Recruiting?
Frequently asked questions
Everything you need to know about the symplr Recruiting integration
Does symplr Recruiting use AI to screen resumes?
symplr Recruiting includes resume parsing to extract applicant data, but it does not score, rank, or screen candidates automatically. Skima AI adds automated resume screening that batch processes every incoming application, ranks candidates by fit, and writes shortlists back to the candidate profile in symplr Recruiting.
Can we use AI to screen resumes or rank candidates in symplr Recruiting?
Yes, Skima AI connects to symplr Recruiting via its integration 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 profile inside symplr Recruiting without migrating ATS data.
Does Skima AI work inside symplr Recruiting without requiring a separate login?
Yes, Skima AI integrates with symplr Recruiting ATS through its integration API. Screening scores, match explanations, fraud risk ratings, and interview summaries write back to the candidate profile inside symplr Recruiting. Recruiters never leave the ATS or log into a separate platform to review Skima AI output.
Does Skima AI detect bot applicants in symplr Recruiting?
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 candidate profile in symplr Recruiting as fraud risk ratings. Recruiters review the flag and decide how to proceed. Skima AI never auto-rejects.
How does Skima AI connect to symplr Recruiting?
Through symplr Recruiting's integration API, without migrating ATS data. symplr's implementation team provisions the connection credentials as part of setup, rather than a self-serve key you generate yourself. Exact setup steps and connection timelines are not publicly documented, so confirm both with your symplr account team before planning a launch date.
Does Skima AI help to rediscover candidates already in my symplr Recruiting database?
Yes, Skima AI sources candidates from your symplr Recruiting candidate database, including archived applicants and candidates who didn't advance in previous searches. When a new requisition opens, Skima AI uses semantic matching to surface past applicants who fit, ranked with explainable scores. Results write back to the candidate profile.
Does Skima AI run automated AI interviews inside symplr Recruiting?
Yes, Skima AI runs AI video interviews the moment a candidate applies or reaches a symplr Recruiting pipeline 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 symplr Recruiting without scheduling manual phone screens.
Which AI screening solutions offer explainable AI for hiring decisions?
Skima AI offers explainable AI matching for symplr Recruiting. 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, so your team can audit every recommendation before acting.
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 symplr Recruiting candidate profile so recruiters can investigate or reject before the candidate reaches an interview or offer stage.
Is symplr Recruiting candidate data secure with Skima AI?
Skima AI reads from your symplr Recruiting instance via its integration API. Candidate data stays in symplr Recruiting. 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.