AI Screening and Recruiting Automation for Mercury
Skima AI integrates with Mercury 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 Mercury integration
Authenticate once through the Mercury Public API. Every AI capability below reads from Mercury and writes results back to the candidate record without migrating ATS data. No second login. No parallel platform.
Talent rediscovery
Skima AI uses semantic candidate matching and surfaces past applicants from your Mercury candidate database when a new Vacancy opens. Explainable scores and shortlists write back to the candidate records inside Mercury.
Rediscovery →Candidate fraud detection
Skima AI detects bot applicants, templated and AI-generated resumes, and resume discrepancies before the Mercury Interview stage. Fraud risk scores and anomaly signals write back to the candidate record. Skima AI never auto-rejects.
Fraud Detection →AI video interviewer
Automated AI interviews that launch the moment a candidate applies or reaches a Mercury Shortlist Substatus you define. Structured summary, transcript, and scores against your job criteria write back to the candidate record.
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 Mercury, ranks & sorts candidates by fit, and highlights top candidates. Built for high volume recruitment without manual review time.
AI Screening →Why Mercury teams choose Skima AI integrations
Skima AI is built for Mercury's Vacancy, Candidate, and Shortlist model. Every screening score, match explanation, and fraud rating writes back as structured data.
Automated AI recruiting inside Mercury
Mercury manages Vacancies, Candidates, and Shortlists on Dynamics 365, while Skima AI adds automated resume screening, AI candidate ranking, fraud detection, and rediscovery that Mercury's Copilot tools don't provide natively.
Reduces manual resume review time
Skima AI automatically screens and shortlists every incoming Mercury 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 record.
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 Mercury candidate database and surfaces past applicants who match current open Vacancies. Talent already in your ATS, found automatically.
How to set up Mercury AI integration
Skima AI integrates natively with Mercury without migrating ATS data. It pushes evidence-backed candidate notes back into common Mercury fields in real time.
Authenticate Mercury
Subscribe to the Mercury Public API in the developer portal to generate a Subscription Key, then request a Tenant ID from your Mercury Customer Success Manager. Enter both into Skima AI to establish the connection and begin indexing your candidate database.
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 Mercury.
Results appear inside Mercury
Skima AI writes screening scores, match explanations, fraud risk ratings, and interview summaries back to the candidate record as structured data. Recruiters act from the same screen they already use.
AI layer inside Mercury. No separate login.
Skima AI works inside Mercury 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 Shortlist Feedback.
- Results written to the Mercury candidate record, not an external dashboard
- No additional Mercury seat or license required
- Existing Mercury permissions apply to all Skima AI outputs
- Compatible with Mercury's Shortlist-to-Placement progression
Enterprise-grade responsible AI for Mercury 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 Mercury?
Frequently asked questions
Everything you need to know about the Mercury integration
Does Mercury use AI to screen resumes?
Mercury's Copilot integration includes AI-assisted screening, but it does not batch-rank incoming applicants against job criteria, detect fraudulent or AI-generated resumes, or run interviews. Skima AI adds automated resume screening that processes every incoming application, ranks candidates by fit, and writes shortlists back to the candidate record in Mercury.
Can we use AI to screen resumes or rank candidates in Mercury?
Yes, Skima AI connects to Mercury via the Mercury Public API, using a Subscription Key and Tenant ID, and screen resumes against the job criteria automatically. Candidates are ranked and sorted by fit. Shortlists and screening scores write back to the candidate record inside Mercury without migrating ATS data.
Does Skima AI work inside Mercury without requiring a separate login?
Yes, Skima AI integrates natively with Mercury through the Mercury Public API. Screening scores, match explanations, fraud risk ratings, and interview summaries all write back to the candidate record and Shortlist inside Mercury. Recruiters never leave Mercury or log into a separate platform to review AI results.
Does Skima AI detect bot applicants in Mercury?
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 Mercury candidate record as fraud risk ratings. Recruiters review the flag and decide how to proceed. Skima AI never auto-rejects.
How does Skima AI connect to Mercury?
Through the Mercury Public API without migrating ATS data. Generate a Subscription Key in the Mercury developer portal, then request a Tenant ID from your Mercury Customer Success Manager, since Tenant ID access requires their approval. Provide both to Skima AI to activate the connection.
Does Skima AI help to rediscover candidates already in my Mercury ATS database?
Yes, Skima AI sources candidates from your Mercury candidate database, including archived applicants and candidates who didn't advance in previous roles. When a new Vacancy opens, Skima AI uses semantic matching to surface past applicants who fit, ranked with explainable scores. Results write back to the candidate record inside Mercury before your team sources externally.
Does Skima AI run automated AI interviews inside Mercury?
Yes, Skima AI runs AI video interviews the moment a candidate applies or reaches a Mercury Shortlist Substatus you define. A structured summary, transcript, and scores against your job criteria write back to the candidate record. Recruiters review pre-screened candidates inside Mercury without scheduling manual phone screens.
Which AI screening solutions offer explainable AI for hiring decisions?
Skima AI offers explainable AI matching for Mercury. 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 Mercury candidate record so recruiters can investigate or reject before the candidate reaches the Interview or Offer Made stage.
Is Mercury candidate data secure with Skima AI?
Skima AI reads from your Mercury instance via the Mercury Public API. Candidate data stays in Mercury. 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.