TrackerRMS Integration
Bring Skima Intelligence to TrackerRMS
Skima AI seamlessly integrates with TrackerRMS ATS to bring explainable AI-driven candidate match scores, evidence, and feedback loops. with no extra logins.
What You’ll See in TrackerRMS ATS with Skima AI
By integrating Skima AI with TrackerRMS, recruiting teams gain AI-powered insights visible right inside TrackerRMS dashboards:
Match Score (0-100) score based on job description fit.
Reasons in Bullet points explain exactly why a candidate matches the JD
"Skima Screened" Tag to quickly filter and identify AI-validated candidates
Managers can easily review, approve, or skip candidates with simple feedback
All hiring manager feedback and AI insights are written back for auditability.
Outcome: AI-ranked top-10 shortlist that refreshes automatically with new candidates, enabling recruiters to focus on the best applicants immediately.
Why TrackerRMS Recruiting Teams Pick Skima AI
TrackerRMS users choose Skima AI to enhance their ATS with AI-driven candidate intelligence without changing systems or complex workflows:
Unified Experience
Scores, reasons, and HM feedback appear directly within TrackerRMS candidate
Efficient Collaboration
Recruiters share a secure shortlist link with hiring managers
Always Updated
Using TrackerRMS’s webhook events, candidate scores update instantly upon application or profile changes
Talent Rediscovery
Skima AI identifies qualified candidates already in your TrackerRMS database
What Skima AI Writes Back to TrackerRMS ATS
Skima AI writes structured data back into TrackerRMS using its native tagging and activity note functionalities:
| Writes back to | Field name | Type | Example |
|---|---|---|---|
| Activity Note | SKIMA Match Score | Number (0–100) | 89 |
| Activity Note | SKIMA Reasons | Long text (3–5 bullet points) | "5 yrs sales; CRM; team lead" |
| Activity Note | Shortlist Link | URL | https://…/shortlist/xyz |
| Candidate Tag | SKIMA Screened | Tag | SKIMA Screened |
| Activity Note | HM Feedback | Enum | 👍 / 👎 / Maybe |
| Activity Note | HM Comment | Short text | Ready for final interview |
Note: TrackerRMS webhooks enable real-time updates. In case of webhook outages, Skima AI safely falls back to polling every 10-15 minutes for data freshness.
How Does the Shortlist Loop Work?
Skima AI creates a smooth feedback loop within TrackerRMS, enhancing hiring collaboration without added complexity:
1. Recruiter Shares Shortlist:
Generates a secure, no-login shortlist link, added as an activity note on the candidate record.
2. Manager Provides Feedback:
Managers click 👍, 👎, or "Maybe" and may add context comments for decisions.
3. Skima AI Updates TrackerRMS:
Feedback automatically posts back as activity notes linked to each candidate application.
Recruiter Acts On Insights:
Recruiters see an AI-ranked top-10 shortlist in real-time, moving the best candidates forward confidently.
Results include faster decision-making, transparent audit trails, and simpler collaboration aligned with TrackerRMS’s candidate-centric workflows.
Field Map for TrackerRMS ATS Integration
A clear data flow map helps TrackerRMS recruiting teams and IT admins understand exactly what Skima AI pulls in and pushes back. It ensures smooth setup and compliance while working within TrackerRMS's unique opportunities data model.
Skima AI securely retrieves the following data to fuel AI-driven scoring and rediscovery:
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Candidate Details:: ID, name, contact info (email, phone), locations, skills.
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Application Data:: Job applied to, resume attachments, and responses.
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Job Posting Info: : Title, description, requirements, departments, locations.
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Recruitment Stages: : Current candidate stage, historical progression.
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Tags & Notes:: Any relevant candidate or application tags/notes to enhance scoring.
Skima AI writes back structured scoring, insights, and feedback to TrackerRMS using its native activity notes and tagging systems:
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Activity Note:: "Skima AI Match Score: [0-100]" with detailed explanations.
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Activity Note:: "Skima AI Reasons" with bullet points explaining the match.
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Candidate Tag:: "Skima Screened" applied for easy sorting/filtering.
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Activity Note: : Shortlist collaboration link for managers.
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Activity Note:: Hiring manager feedback (👍/👎/Maybe + comments).
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Optional:: Automated stage changes (e.g., move candidate to "Skima Shortlisted").
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Attachments:: File attachments for detailed AI evidence if required.
This bidirectional sync ensures hiring managers experience live AI data integrated naturally within their TrackerRMS workflow.
Set up Your TrackerRMS Integration
Follow these 5 steps to set up Skima AI with TrackerRMS quickly and securely:
Generate API credentials within TrackerRMS with read/write permissions for candidates, applications, tags, and notes.
Configure webhook endpoints in TrackerRMS and add the Skima AI webhook URL, subscribing to candidate and application update events.
Define the “Skima Screened” candidate tag and optionally a “Skima Shortlisted” stage in TrackerRMS for pipeline organization; assign permissions for Skima AI automation.
Test on a few requisitions by uploading resumes, verifying AI match scores and reasons, submitting hiring manager feedback, and confirming activity notes populate as expected.
Once validated, enable the integration on pilot roles, monitor regularly, and review reports at day 15 and day 30 to optimize performance.
Security &
Responsible AI
for TrackerRMS
Integrations
When we integrate Skima AI with TrackerRMS ATS, we ensure data security and ethical AI use. These elements are essential to our integration strategy.
- Skima AI generates match scores and reasons based solely on resume parsing with no auto-rejections or opaque decisions.
- All hiring manager feedback, notes, and shortlist actions are securely stored within TrackerRMS for full auditability.
- Role-based permissions, encrypted data in transit and at rest, and secure shortlist sharing protect privacy.
- Compliance with data protection regulations (e.g., GDPR, CCPA) and inclusion of subprocessors and certifications in security documentation.
- Transparent, explainable AI insights mitigate bias, ensuring fair hiring practices aligned with TrackerRMS’s compliance framework.
Frequently Asked Questions
Does Skima AI integrate with TrackerRMS ATS? How?
Yes. Skima AI connects via TrackerRMS’s REST API and webhooks, scoring candidates and writing back activity notes with match scores, reasons, and feedback.
What data fields does Skima AI write back?
Activity notes for match score and reasoning, candidate tags for “Skima Screened,” hiring manager feedback notes, and optional stage changes for pipeline tracking.
Are webhooks mandatory for real-time operation?
Webhooks are highly recommended for real-time candidate updates, but Skima AI also supports polling every 10-15 minutes as a fallback.
Where appear Match Scores and Reasons in TrackerRMS?
They appear as activity notes in each candidate’s profile, providing a continuous timeline of AI evaluations and hiring manager decisions.
Can hiring manager feedback remain fully inside TrackerRMS?
Yes, all feedback and comments are documented as activity notes, maintaining a transparent feedback audit trail.
What permissions does Skima AI require?
Read-write API permissions for candidates, applications, tags, and notes are optimal. Limited read-only access can work with less feature richness.
Does Skima AI support TrackerRMS’s candidate and application data model?
Yes, Skima AI is built for TrackerRMS’s candidate-centric model, handling multiple job applications per candidate efficiently.
Can candidate stages be automatically updated?
Stage updates are optional and configurable. Most teams prefer manual recruiter control, but automated moves to “Skima Shortlisted” can be enabled.
How often are match scores refreshed?
Scores update instantly via webhooks on candidate or application changes, and periodic refreshes occur during active job postings.