RecruiterFlow ATS Integration
Bring Skima Intelligence to RecruiterFlow
Skima AI integrates explainable AI candidate scores, reasons, and collaboration directly into RecruiterFlow ATS. No extra logins or platform switches required.
What You'll See in RecruiterFlow ATS with Skima AI
Integrating Skima AI with RecruiterFlow empowers your recruiting team with AI-enhanced insights visible directly inside candidate profiles and job pipelines.
Match Score (0-100) is displayed on candidates' applications.
Reasons in bullet points explaining why a candidate aligns with the role.
"Skima Screened" Tag for rapid filtering and pipeline organization.
The shortlist page is accessible via a secure link for HM to provide feedback.
Manager Feedback Capture is stored as comments, creating a clear audit trail.
A clear shortlist that updates in real time as new candidates and applications flow in, ensuring recruiters focus on the best talent first.
Why RecruiterFlow Recruiting Teams Pick Skima AI
RecruiterFlow users pick Skima AI because it enhances their ATS with powerful AI insights while preserving existing workflows and data integrity.
One Unified System
AI insights, match scores, and manager feedback appear directly on the records in RecruiterFlow.
Simplified Manager Collaboration
Secure shortlist links and integrated feedback capture accelerate hiring decisions.
Real-Time Candidate Scoring
Every new opportunity is scored instantly via webhooks, keeping your data updated.
Talent Rediscovery
Skima AI mines historical candidate data to resurface hidden qualified candidates.
What Skima AI Writes Back to RecruiterFlow ATS
| Writes back to | Field name | Type | Example |
|---|---|---|---|
| AI Match Score | SKIMA Match Score | Number (0-100) | 92 |
| AI Match Reasons | SKIMA Reasons | Long text | "5 yrs sales, strong Excel skills" |
| Shortlist Page Link | SKIMA Shortlist Link | URL | https://…/shortlist/123 |
| Candidate Tag | Skima Screened | Tag | Skima Screened |
| Hiring Manager Feedback | HM Feedback | Enum | 👍 / 👎 / Maybe |
| Hiring Manager Comments | HM Comment | Short text | "Ready for final interview" |
| (Optional) Stage Change | Skima Shortlisted | Pipeline Stage | Move to a designated shortlist/pipeline stage |
Note: Skima AI leverages RecruiterFlow's webhook system to receive real-time updates and applies the AI results back seamlessly. If webhooks are unavailable, it uses 10-15 minute polling safely to keep data current.
How the Shortlist Loop Works?
Skima AI creates a real-time collaboration loop within RecruiterFlow that simplifies shortlist reviews and manager feedback collection, without disrupting workflows.
Recruiter Shares Shortlist
Skima AI generates a secure, no-login shortlist link that recruiters add to candidate comments or custom activity logs.
Manager Provides Feedback
Hiring managers click like 👍, dislike 👎, or maybe, optionally adding commentary.
Skima AI Writes Back
Feedback is automatically written into RecruiterFlow candidate comments or custom fields, visible to recruiters.
Recruiter Acts on AI Insights
The recruiter uses the AI-ranked, explainable shortlist to confidently advance top candidates.
This cycle accelerates decisions, improves collaboration transparency, and maintains a full audit trail inside RecruiterFlow's native system.
Field Map for RecruiterFlow ATS Integration
A clear data map helps RecruiterFlow admins and recruiting teams understand what Skima AI pulls & pushes, ensuring compliance and smooth integration within RecruiterFlow's flexible candidate/job model.
Skima AI securely retrieves data required for AI scoring and talent rediscovery:
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Candidate Data: Names, emails, phone numbers, linked profiles, tags.
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Resume Attachments: Candidate CV files parsed for skill extraction.
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Job Data: Job titles, descriptions, requirements, department/location metadata.
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Applications & Stages: Application statuses, interview stages, pipeline progress.
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Historical Data: Past candidate pipelines, feedback, and status changes.
Following AI scoring and shortlist generation, Skima AI writes results back using RecruiterFlow-supported fields:
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Candidate Custom Fields or Comments: For detailed match scores and AI reasoning.
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Candidate Tags: Marking profiles as "Skima Screened" for filtering.
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Comments/Activity Logs: Managers' feedback and shortlist links.
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Optional Pipeline/Stage Updates: To assist workflow automation.
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(Fallback) File Attachments: SKIMA_Evidence.pdf with detailed scoring info for audit or compliance.
This bidirectional sync ensures AI-driven hiring insights are fully integrated into RecruiterFlow's native candidate lifecycle.
Set up Your RecruiterFlow Integration
RecruiterFlow + Skima AI integration requires minimal IT effort and can be set up quickly.
Below are 5 easy steps to set up your RecruiterFlow integration:
Obtain an API key from a RecruiterFlow account owner in Settings → API Access.
Configure RecruiterFlow webhooks to send candidate and job update events to Skima AI's webhook URL.
Ensure API key permissions allow read/write access for candidates, jobs, tags, comments, and pipeline stages.
Create "Skima Screened" tags and custom fields for match scores and manager feedback in RecruiterFlow.
Go live by enabling the integration on pilot roles and monitoring performance with regular ROI reports.
Security &
Responsible AI
for RecruiterFlow
Integrations
Data security, compliance, and responsible AI use are central to Skima AI's integration with RecruiterFlow:
- Explainable AI Scores come with evidence-based reasons, no automatic hiring decisions or rejections.
- All manager feedback and AI decisions are logged transparently inside RecruiterFlow for an audit trail.
- Role-based access controls, secure links, and redaction modes protect sensitive candidate data.
- Uses encryption in transit and at rest, complies with DPAs, SOC 2-type industry security standards, and lists subprocessors.
- Continuously monitored AI models reduce risks of discrimination, ensuring compliant, fair hiring practices.
Skima AI combines AI with strict security practices, ensuring your RecruiterFlow recruiting integrations remain compliant, auditable, and fair.
Customer Snapshot: 30-Day Pilot with RecruiterFlow ATS
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
Frequently Asked Questions
Everything you need to know about the RecruiterFlow ATS Integrations.
Does Skima AI integrate with RecruiterFlow ATS? How does it work?
Yes, Skima AI connects via RecruiterFlow API and webhooks to score candidates, write back match scores, reasons, tags, and collect hiring manager feedback within candidate records seamlessly.
What fields does Skima AI write back to RecruiterFlow?
It writes match scores (0-100), AI reasoning bullets, "Skima Screened" tags, shortlist links, and optional hiring manager feedback or comments into custom fields, tags, and candidate comments.
How long does the RecruiterFlow integration setup take?
Setup typically takes 60-90 minutes, covering API key creation, webhook configuration, custom field and tag setup, permission assignments, and integration testing on a few candidate/job records.
Are webhooks required for Skima AI to work?
Webhooks enable real-time updates and are recommended, but Skima AI supports safe polling every 10-15 minutes if webhooks are not available or enabled in RecruiterFlow.
Where will Match Scores and Reasons appear in RecruiterFlow?
Match scores and AI reasons appear in candidate records as custom fields or comments, visible directly in RecruiterFlow's candidate profile and activity timeline for easy recruiter access.
Can manager feedback stay inside RecruiterFlow?
Yes, manager feedback is captured back inside RecruiterFlow as comments or custom fields, ensuring feedback and hiring decisions remain auditable and easily accessible within the ATS.
What if our team can't create custom fields in RecruiterFlow?
Fallback options let Skima AI write summaries or evidence into candidate comments or attach files, so AI insights remain linked to candidate records even without custom fields.
Does Skima AI support RecruiterFlow custom fields?
Yes, custom fields are fully supported and used extensively to store AI match scores, reasons, and hiring manager feedback within RecruiterFlow for seamless integration.
Will Skima AI automatically move candidate stages in RecruiterFlow?
Stage or pipeline moves are optional and configurable; most teams prefer manual control to align with their hiring workflow and oversight.
How often are match scores refreshed?
Match scores update instantly via webhooks when candidate or job data changes, and periodically refresh while the job remains active to keep scores current.