AI Screening and Recruiting Automation for Keka Hire
Skima AI integrates with Keka Hire 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 Keka Hire integration
Authenticate once through the Keka Hire API. Every AI capability below reads from Keka Hire and writes results back to the candidate profile without migrating ATS data. No second login. No parallel platform.
Talent Rediscovery
Skima AI uses semantic matching to surface past applicants from your Keka Hire Talent Pool when a new job opens. Explainable scores and shortlists write back to the Keka Hire candidate profile.
Rediscovery →Candidate Fraud Detection
Skima AI detects bot applicants, templated and AI-generated resumes, and resume discrepancies before the Keka Hire interview stage. Fraud risk scores and signals write back to the candidate profile. Skima AI never auto-rejects.
Fraud Detection →AI Video Interviewer
AI video interviews launch the moment a candidate applies or reaches a Keka Hire stage you define. Structured summary, transcript, and scores against your job requirements 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 batch processes every incoming application in Keka Hire, ranks candidates by fit, and highlights top applicants. Built for high-volume recruitment, so recruiters stop manually reviewing every application.
AI Screening →Why Keka Hire Teams Choose Skima AI Integrations
Skima AI is built for Keka Hire's configurable hiring pipeline. Every screening score, match explanation, and fraud rating writes back as structured data.
Automated AI Recruiting inside Keka Hire
Keka Hire's AI resume scoring and AI screener screen applicants. Skima AI adds bot-applicant detection, resume-fraud scoring, and audited evidence, written back as structured data.
Reduces Manual Resume Review Time
Skima AI automatically screens and shortlists every incoming Keka Hire 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 remove manual review at the Sourced, Application Review, and Interview stages of the Keka Hire pipeline.
Surfaces Candidates Already in Your ATS
Skima AI scans your full Keka Hire Talent Pool and surfaces past applicants who match current open jobs.
How to Set Up Keka Hire AI Integration
Skima AI integrates natively with Keka Hire without migrating ATS data. It pushes evidence-backed notes back into the candidate profile's Notes and Scorecard fields in real time.
Authenticate Keka Hire
Generate a Client ID, Client Secret, and API Key from Keka's App Portal. Paste them into Skima AI to index your Talent Pool.
Skima AI works in the background
Every new application triggers automated resume screening. Your Talent Pool gets indexed for rediscovery. Fraud signals are evaluated. Nothing changes in how your team uses Keka Hire.
Results appear inside Keka Hire
Skima AI writes screening scores, match explanations, fraud ratings, and interview summaries back to the candidate profile. Recruiters act from the screen they already use.
AI Layer inside Keka Hire. No separate login.
Skima AI works inside Keka Hire without a separate login or manual entry. Screening scores appear on the candidate profile. Fraud detection appears alongside application details. Interview summaries appear as structured notes next to your candidate evaluations.
- Results written to the Keka Hire candidate profile
- No additional Keka Hire seat or license required
- Existing Keka Hire permissions apply to all Skima AI outputs
- Compatible with Keka Hire's collaborative scorecard and feedback workflow
Enterprise-grade responsible AI for Keka Hire 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 Keka Hire?
Frequently asked questions
Everything you need to know about the Keka Hire integration
Can we use AI to screen resumes or rank candidates in Keka?
Yes, Skima AI connects to Keka Hire through its REST API and screens resumes against your job requirements, regardless of volume. Candidates are ranked and sorted by fit. Shortlists and screening scores write back to the candidate profile inside Keka Hire, with no ATS data migration required.
Does Skima AI work inside Keka without requiring a separate login?
Yes, Skima AI integrates natively with Keka Hire through its API without a second sign-on or manual data entry. Screening scores, match explanations, fraud risk ratings, and interview summaries write back to the candidate profile inside Keka Hire. Recruiters never leave the ATS or open a separate platform.
Does Skima AI detect bot applicants in Keka?
Yes, Skima AI detects bot applicants, AI-generated resumes, proxy applicants, and resume discrepancies before candidates reach the interview stage. Detection results write back to the Keka Hire 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 Keka?
Through the Keka Hire API using OAuth. Generate a Client ID, Client Secret, and API Key from Keka's App Portal, then request an access token with scope kekaapi. No data migration is required, and most teams connect within one business day.
Does Skima AI help to rediscover candidates already in my Keka Hire Talent Pool?
Yes, Skima AI sources candidates from your full Keka Hire Talent Pool, including archived applicants, beyond Keka Hire's own AI resume scoring on active jobs. When a new job requisition is approved, Skima AI uses semantic matching to surface past applicants who fit, ranked with explainable scores written back to the candidate profile.
Does Skima AI run automated AI interviews inside Keka?
Yes, Skima AI runs AI video interviews the moment a candidate applies or reaches a Keka Hire stage you define, alongside Keka Hire's own AI screener. A structured summary, transcript, and scores against your job requirements write back to the candidate profile. Recruiters review pre-screened candidates inside Keka Hire.
Which AI screening solutions offer explainable AI for hiring decisions?
Skima AI offers explainable AI matching for Keka Hire. 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 means your team can audit every recommendation.
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 Keka Hire candidate profile so recruiters can investigate or reject before the candidate reaches an interview or offer stage.
Is Keka Hire candidate data secure with Skima AI?
Skima AI reads from your Keka Hire instance via its API. Candidate data stays in Keka Hire. 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.
Does hired candidate data flow from Keka Hire into onboarding and employee records?
Yes, once a candidate is hired in Keka Hire, their profile converts into a Core HR employee profile, carrying forward documents, preboarding tasks, and interview history. Skima AI's screening scores, match evidence, and fraud flags stay attached to that candidate record through the transition, giving HR full context at onboarding.