AI Screening and Recruiting Automation for Moka HR
Skima AI integrates with Moka HR 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 Moka HR integration
Authenticate once through the Moka API. Every AI capability below reads from Moka HR 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 Moka HR talent pool when a new role opens. Explainable scores and shortlists write back to the candidate profile inside Moka HR.
Rediscovery →Candidate Fraud Detection
Skima AI detects bot applicants, templated and AI-generated resumes, and resume discrepancies before the Moka HR 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 Moka HR 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 Moka HR application and ranks candidates by fit. Built for high volume recruitment without manual review time.
AI Screening →Why Moka HR Teams Choose Skima AI Integrations
Skima AI is built for Moka HR's structured hiring standard. Every screening score, match explanation, and fraud rating writes back as structured data.
Automated AI Recruiting inside Moka HR
Moka HR already runs resume screening and rediscovery through Moka Eva. Skima AI adds fraud detection and explainable match evidence that Moka Eva doesn't generate natively.
Reduces Manual Resume Review Time
Skima AI automatically screens and shortlists every incoming Moka HR 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 Moka HR talent pool and sources past applicants who match current open roles. Talent already in your ATS, found automatically.
How to Set Up Moka HR AI Integration
Skima AI integrates natively with Moka HR without migrating ATS data. It pushes evidence-backed candidate notes back into common Moka HR fields in real time.
Authenticate Moka HR
Generate a Moka API key or connect via OAuth2 with candidate, job, and application permissions, then register the Skima AI webhook. The connection is established, and indexing of your talent pool begins immediately.
Skima AI works in the background
Every new application triggers automated resume screening. Your existing talent pool gets indexed for rediscovery. Fraud signals are scored. Nothing changes in how your team uses Moka HR.
Results appear inside Moka HR
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 Moka HR. No separate login.
Skima AI works inside Moka HR without requiring 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. Match explanations appear next to feedback forms.
- Results written to the Moka HR candidate profile, not an external dashboard
- No additional Moka HR seat or license required
- Existing Moka HR permissions apply to all Skima AI outputs
- Compatible with Moka HR structured interview workflow
Enterprise-grade responsible AI for Moka HR 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 Moka HR?
Frequently asked questions
Everything you need to know about the Moka HR integration
Does Moka HR use AI to screen resumes?
Moka HR's Moka Eva runs native AI resume screening. It does not detect bot applicants, AI-generated resumes, or resume discrepancies. Skima AI adds that fraud detection layer, writing risk scores back to the candidate profile in Moka HR without replacing Moka Eva's screening.
Can we use AI to screen resumes or rank candidates in Moka HR?
Yes, Skima AI connects to Moka HR via the Moka API and screens resumes against the job criteria automatically. Candidates are ranked and sorted by fit, with fraud risk flagged alongside. Shortlists and screening scores write back to the candidate profile inside Moka HR without migrating ATS data.
Does Skima AI work inside Moka HR without requiring a separate login?
Yes, Skima AI integrates natively with Moka HR through the Moka API and webhook events. Screening scores, match explanations, fraud risk ratings, and interview summaries all write back to the candidate profile inside Moka HR. Recruiters never leave the ATS or log into a separate platform.
Does Skima AI detect bot applicants in Moka HR?
Yes, Skima AI detects bot applicants, AI-generated resumes, proxy applicants, and resume discrepancies before they reach your interview stage. Detection results are written back to the Moka HR 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 Moka HR?
Through the Moka API using an API key or OAuth2, plus a registered webhook for real-time sync, without migrating ATS data. Generate credentials in your Moka HR admin settings, provide them to Skima AI, and register the webhook endpoint.
Does Skima AI help to rediscover candidates already in my Moka HR database?
Yes, Skima AI sources candidates from your Moka HR talent pool, including archived applicants and candidates who didn't advance in previous roles. When a new role opens, Skima AI uses semantic matching to surface past applicants who fit, ranked with explainable scores Moka Eva doesn't show. Results write back to the candidate profile inside Moka HR before sourcing externally.
Does Skima AI run automated AI interviews inside Moka HR?
Yes. Moka Eva already runs native first-round AI interviews inside Moka HR. Skima AI adds a second, explainable scoring layer that launches at any stage you define: structured summary, transcript, and scores against your specific job criteria write back to the candidate profile for recruiters to compare.
Which AI screening solutions offer explainable AI for hiring decisions?
Skima AI offers explainable AI matching for Moka HR. 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 Moka HR candidate profile so recruiters can investigate or reject before the candidate reaches an interview or offer stage.
Is Moka HR candidate data secure with Skima AI?
Skima AI reads from your Moka HR instance via the Moka API. Candidate data stays in Moka HR. 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.