AI Screening and Recruiting Automation for Tracker RMS
Skima AI integrates with Tracker RMS 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 Tracker RMS integration
Authenticate once through the Tracker RMS Open API. Every AI capability reads from Tracker RMS 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 Tracker RMS database when a new job opens. Explainable scores and shortlists write back to the candidate records inside Tracker RMS.
Rediscovery →Candidate fraud detection
Skima AI detects bot applicants, templated and AI-generated resumes, and resume discrepancies before the Tracker RMS 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 Tracker RMS stage 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 Tracker RMS, ranks & sorts candidates by fit, and highlights top candidates. Built for high volume recruitment without manual review time.
AI Screening →Why Tracker RMS teams choose Skima AI integrations
Skima AI is built for Tracker RMS's longlist-to-shortlist hiring workflow. Every screening score, match explanation, and fraud rating writes back as structured data.
Automated AI recruiting inside Tracker RMS
Tracker RMS ranks candidates with its native TrackerAI engine, while Skima AI adds automated top-of-funnel screening, explainable match evidence, fraud detection, and rediscovery that Tracker RMS doesn't have natively.
Reduces manual resume review time
Skima AI automatically screens and shortlists every incoming Tracker RMS 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 Tracker RMS candidate database and surfaces past applicants who match current open roles. Talent already in your ATS, found automatically.
How to set up Tracker RMS AI integration
Skima AI integrates natively with Tracker RMS without migrating ATS data. It pushes evidence-backed candidate notes back into Tracker RMS activity notes in real time.
Authenticate Tracker RMS
Generate an Open API access token from Tools & Settings > Security Settings with candidate, application, tag, and note permissions. Paste it into Skima AI. The connection is established, and indexing of your candidate database begins immediately.
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 Tracker RMS.
Results appear inside Tracker RMS
Skima AI writes screening scores, match explanations, fraud risk ratings, and interview summaries back to the candidate record as activity notes. Recruiters act from the same screen they already use.
AI layer inside Tracker RMS. No separate login.
Skima AI works inside Tracker RMS without a separate login or manual entry. Screening scores, fraud flags, interview summaries, and match explanations all appear as activity notes on the candidate record, tagged Skima Screened for easy filtering.
- Results written to the Tracker RMS candidate record as activity notes, not an external dashboard
- No additional Tracker RMS seat or license required
- Existing Tracker RMS permissions apply to all Skima AI outputs
- Compatible with Tracker RMS's longlist, shortlist, and stage workflow end-to-end
Enterprise-grade responsible AI for Tracker RMS 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 Tracker RMS?
Frequently asked questions
Everything you need to know about the Tracker RMS integration
Does Tracker RMS use AI to screen resumes?
Tracker RMS includes TrackerAI, a native ranking engine for candidate matching. It does not screen every incoming resume at the top of the funnel or flag fraud risk before interviews. Skima AI adds automated screening that batch processes every application, ranks candidates by fit, and writes shortlists back to the candidate record in Tracker RMS.
Can we use AI to screen resumes or rank candidates in Tracker RMS?
Yes, Skima AI connects to Tracker RMS via the Open 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 record inside Tracker RMS without migrating ATS data.
Does Skima AI work inside Tracker RMS without requiring a separate login?
Yes, Skima AI integrates natively with Tracker RMS through the Open API without a parallel login. Screening scores, match explanations, fraud risk ratings, and interview summaries all write back to the candidate record as activity notes. Recruiters never leave the ATS or log into a separate platform.
Does Skima AI detect bot applicants in Tracker RMS?
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 Tracker RMS 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 Tracker RMS?
Through the Tracker RMS Open API without migrating ATS data. Generate an access token from Tools & Settings > Security Settings in Tracker RMS with candidate, application, tag, and note permissions, provide it to Skima AI, and the connection is live. No IT ticket. Most teams connect within minutes.
Does Skima AI help to rediscover candidates already in my Tracker RMS database?
Yes, Skima AI sources candidates from your Tracker RMS candidate database, including archived applicants and candidates who didn't advance in previous roles. When a new job opens, Skima AI uses semantic matching to surface past applicants who fit, ranked with explainable scores. Results write back to the candidate record inside Tracker RMS before your team sources externally.
Does Skima AI run automated AI interviews inside Tracker RMS?
Yes, Skima AI runs AI video interviews the moment a candidate applies or reaches a Tracker RMS stage you define. A structured summary, transcript, and scores against your job criteria write back to the candidate record. Recruiters review pre-screened candidates inside Tracker RMS without scheduling manual phone screens.
Which AI screening solutions offer explainable AI for hiring decisions?
Skima AI offers explainable AI matching for Tracker RMS. 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 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 Tracker RMS candidate record so recruiters can investigate or reject before the candidate reaches an interview or offer stage.
Is Tracker RMS candidate data secure with Skima AI?
Skima AI reads from your Tracker RMS instance via the Open API. Candidate data stays in Tracker RMS. 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.