PageUp ATS Integration
Bring Skima Intelligence to PageUp
Skima AI provides explainable AI match scores, reasons, and feedback loops directly into PageUp ATS. No extra logins, no workflow disruption.
What You'll See in PageUp ATS with Skima AI
When you integrate Skima AI with PageUp ATS, your recruiting team gets AI-driven insights directly inside PageUp's application.
AI Match Scores (0-100) are attached to each application.
Bullet points explaining why the candidate matches the job description.
"Skima Screened" flag for quick filtering and pipeline visibility.
Shortlist page for hiring managers (Approve/Skip + optional note).
Activity note that captures manager feedback for audit trail.
A clear top 10 shortlist that updates automatically as new applications arrive. This ensures your team always works on the best candidates first.
Why PageUp Recruiting Teams Pick Skima AI
PageUp users integrate Skima AI because it enhances their ATS with intelligent scoring and matching without forcing them to switch systems.
Stay in One System
All scores, reasons, and hiring manager feedback appear directly on the PageUp.
Simplified Manager Collaboration
Share a branded shortlist link; Skima AI writes responses back to PageUp.
Always-Fresh Rankings
New application is scored instantly via webhooks, keeping your pipeline updated.
Rediscover Past Talent
Skima AI resurfaces qualified candidates already in your PageUp database.
What Skima AI Writes Back to PageUp ATS
| Writes back to | Field name | Type | Example |
|---|---|---|---|
| Activity Note | SKIMA Match Score | Number (0–100) | 86 |
| Activity Note | SKIMA Reasons | Long text (3–5 bullet points) | "3 yrs retail sales; POS systems; shift lead experience" |
| Application Flag | SKIMA_Screened | Boolean flag | True/False |
| Activity Note | Shortlist Link | URL | https://…/shortlist/abc |
| Activity Note | HM Feedback | Enum | 👍 / 👎 / Maybe |
| Activity Note | HM Comment | Short text | Ready for phone screen |
| (Optional) Application Status | Stage Change | Status update | Moved to "Skima Shortlisted" |
| (Optional) Document | Evidence PDF | File attachment | SKIMA_Evidence.pdf |
Note: Skima AI receives updates when applications are created or updated. If webhooks aren't available, Skima AI safely uses 10-15 minute polling to keep data fresh. Notes have timestamps, user names, and are visible to the team.
How the Shortlist Loop Work?
Skima AI makes hiring collaboration inside PageUp ATS faster and easier by creating a seamless shortlist feedback loop. Recruiters stay aligned without extra logins.
Recruiter Shares the Shortlist
A secure, no-login shortlist link is generated and added as an activity note.
Manager Gives Feedback
The manager simply clicks 👍, 👎, or "Maybe" or optional notes for their decision.
Skima AI Updates PageUp
These decisions are automatically written back as activity notes on each application in PageUp.
Recruiter Acts on Insights
The recruiter sees an explainable, AI-ranked top-10 list and moves the right candidates forward with confidence.
The result is real-time collaboration, faster decisions, and a transparent audit trail that integrates naturally with PageUp's application workflow and status progression model.
Field Map for PageUp ATS Integration
A clear data flow map helps PageUp recruiting teams and IT admins understand exactly what Skima AI pulls in and pushes back.
Skima AI securely retrieves the following data to power AI-driven candidate scoring and rediscovery:
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Application Data: ID, status, date applied, and last updated timestamp.
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Applicant Data: Name, email , number(s), location, LinkedIn profile URL, and applicant reference.
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Requisition Data: Job title, job description, requirements, department, location, status.
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Resume & Documents: Resume file, application form responses, and any uploaded supporting documents.
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Application History: Past applications from the same candidate to other requisitions for talent rediscovery.
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Application Staging: Draft vs. submitted application distinction for timing of scoring.
After scoring and ranking, Skima AI writes structured results back into PageUp ATS using its native activity notes and application flags:
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Activity Note: "Skima AI Match Score: [0-100]" with detailed scoring rationale.
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Activity Note: "Skima AI Reasons: [AI-generated bullet points].
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Application Flag: "SKIMA_Screened: true" for quick filtering.
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Activity Note: Skima Shortlist Link for sharing with hiring managers for feedback.
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Activity Note: "HM Feedback: [👍/👎/Maybe] + [optional comment]"for decisions.
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(Optional) Application Status Change: Move to "Skima Shortlisted" status for visual pipeline tracking within PageUp.
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(Optional) Document Attachment: SKIMA_Evidence.pdf if detailed scoring is needed for compliance.
This bidirectional data sync via PageUp's REST API ensures recruiting teams always see real-time AI insights within PageUp's application workflow.
Set up Your PageUp Integration
PageUp + Skima AI integration is fast, secure, and requires minimal IT effort.
Below are 5 easy steps to set up your PageUp integration:
Create API credentials in PageUp. Contact the admin for OAuth 2.0 details and provide the Skima AI team with these credentials.
Set webhook endpoints in PageUp with the Skima AI URL. Choose "Application Created" and "Application Updated" for scoring. Test connectivity.
Establish application statuses and flags. Add "Skima Shortlisted" for shortlisted apps. Ensure SKIMA_Screened flag exists.
Test 2-3 pilot requisitions. Upload resume, confirm Match Score, share shortlist, submit feedback, check HM note in PageUp.
Go live, monitor API logs, enable Skima AI on 3-5 pilot roles, and get weekly ROI emails and reviews.
Security &
Responsible AI
for PageUp
Integrations
Trust and compliance are key when integrating Skima AI with PageUp ATS. Our approach ensures candidate data stays secure, decisions remain transparent, and hiring managers stay in control.
- Skima AI gives match scores & reasons using resume-based evidence, with no auto-rejects. All decisions remain auditable and contestable.
- All HM decisions, notes, shortlist actions, and feedback are tracked as activity notes in PageUp with timestamps and user attribution. Full history is preserved for compliance and audit purposes.
- Role-based visibility ensures only authorized users see scores and feedback. Secure shortlist links prevent unauthorized access. Candidate data in PageUp remains encrypted in transit and at rest.
- Encryption in transit/at rest (TLS 1.2+); Data Processing Agreement (DPA) available; SOC 2 compliance certified; OAuth 2.0 secure authentication; Regional data center compliance (GDPR, local regulations).
Skima AI combines explainable AI with strict data governance practices, ensuring your PageUp integrations remain compliant, auditable, and fair while avoiding algorithmic bias and discrimination risks.
Customer Snapshot: 30-Day Pilot with PageUp ATS
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
Frequently Asked Questions
Everything you need to know about the PageUp ATS Integrations.
Does Skima AI integrate with PageUp ATS? How does it work?
Yes, Skima AI uses PageUp's REST API and webhooks to score applications, write match scores and reasons as activity notes, and track hiring manager feedback automatically.
What is the difference between PageUp's application and requisition model?
PageUp tracks each candidate-job pairing as a distinct Application within a Requisition. Skima AI scores at the application level, enabling role-specific matching even for repeat applicants.
Where will Match Scores and Reasons appear in PageUp?
Match Scores and Reasons appear as timestamped activity notes on each application's notes tab, visible to all team members with access to the application record.
Can we use the SKIMA_Screened flag for filtering applications?
Yes, the SKIMA_Screened flag enables filtering, saved views, and bulk actions in PageUp, allowing recruiters to quickly isolate and manage Skima-screened candidates within pipelines.
How long does the PageUp integration setup take?
PageUp integration setup takes 60-90 minutes, including API credential creation, webhook configuration, status and flag setup, and validation on 2-3 test applications.
Are webhooks required for Skima AI to work with PageUp?
Webhooks are recommended for real-time scoring. Skima AI supports 10-15 minute polling as a fallback, ensuring all applications are scored even without webhook availability.
What if our PageUp team has limited API permissions?
Skima AI needs read access to applications, applicants, requisitions, documents, and write access for notes and flags. Read-only access allows scoring but requires manual note entry.
Does Skima AI support PageUp's application status workflow?
Yes, Skima AI integrates with PageUp's status model. Optional automated moves to "Skima Shortlisted" status can be configured for visual pipeline tracking and transparency.
Can Skima AI resurface past candidates in PageUp?
Yes, Skima AI rediscovers qualified candidates from your PageUp database when new requisitions open, flagging strong prior applicants matching job requirements through activity notes.
How often are match scores refreshed in PageUp?
Match scores update in real-time via webhooks when applications arrive or data changes. Polling ensures a refresh every 10-15 minutes if webhooks are unavailable.