HR Cloud Integration
Bring Skima Intelligence to HR Cloud
Skima AI provides explainable AI screening, match scores, talent rediscovery, and manager feedback loops directly into HR Cloud ATS. No extra logins, no workflow disruption.
What You'll See in HR Cloud ATS with Skima AI
When you integrate Skima AI with HR Cloud ATS, your recruiting team gets AI-driven insights directly inside HR Cloud's applicant dashboard.
AI Match Scores (0-100) are attached to each candidate application.
Bullet points explaining why the candidate matches the JD.
"Skima Screened" Tag for quick filtering and pipeline organization.
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 HR Cloud Recruiting Teams Pick Skima AI
HR Cloud 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 HM feedback appear directly as activity notes into HR Cloud's candidate timeline.
Simplified Manager Collaboration
Share shortlist links; Skima AI syncs feedback and updates tags automatically.
Always-Fresh Rankings
Every new application is scored instantly via webhooks.
Rediscover Past Talent
Skima AI resurfaces qualified candidates already in your HR Cloud database.
What Skima AI Writes Back to HR Cloud 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 bullets) | "5 yrs retail management; POS expertise; shift lead experience" |
| Activity Note | Shortlist Link | URL | https://…/shortlist/abc |
| Candidate Tag | SKIMA Screened | Tag | SKIMA Screened |
| (Optional) Activity Note | HM Feedback | Enum | 👍 / 👎 / Maybe |
| (Optional) Activity Note | HM Comment | Short text | Ready for phone screen |
| (Optional) Activity Note | Evidence Summary | Text | Skills match: 92%, Experience: 78%, Education: 65% |
Note: Since HR Cloud uses webhooks as the primary integration method, Skima AI receives real-time updates when applications arrive or candidate profiles change. If webhooks aren't available, Skima AI safely uses 10-15 minute polling to keep data fresh.
How Does the Shortlist Loop Work?
Skima AI makes hiring collaboration inside HR Cloud 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 link added as an activity note on each applicant record.
Manager Gives Feedback
The hiring manager simply clicks 👍, 👎, or "Maybe" and optional notes for their decision.
Skima AI Updates HR Cloud
These decisions are automatically written back as activity notes, creating a visible feedback trail.
Recruiter Acts on Insights
Recruiters use AI-ranked top-10 lists combined with manager input to advance candidates confidently.
The result is real-time collaboration, faster decisions, and a transparent audit trail that integrates naturally with HR Cloud's applicant-centric workflow.
Field Map for HR Cloud ATS Integration
A clear data flow map helps HR Cloud 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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Applicant Data: ID, First/Last Name, Email(s), Phone(s), Location, LinkedIn Profile URL, and updated timestamps.
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Job Opening Data: Job ID, Title, Description, Requirements, Department, Location, Business Unit, Hiring Manager, and Job Status.
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Applications: Link between applicant and job (xApplication), application date, application status, source, and application stage.
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Resume Files: Uploaded resume documents and application responses for parsing and skills extraction.
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Custom Fields: Any configured custom fields on applicants or job openings (recruitment-specific metadata).
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Historical Data: Past applications, previous job matches, and stage progressions for candidate rediscovery across multiple positions.
After scoring and ranking, Skima AI writes structured results back into HR Cloud ATS using its native activity notes, tags, and custom field system:
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Activity Note: "Skima AI Match Score: [0-100]" with detailed scoring rationale and methodology.
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Activity Note: "Skima AI Reasons: [AI-generated bullet points]" explaining the match based on skills, experience, and qualifications.
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Candidate Tag: "Skima Screened" for quick filtering, pipeline organization, and visibility across jobs.
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Activity Note: "Skima Shortlist Link: [URL]" for secure manager collaboration without requiring HR Cloud login.
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Activity Note: "HM Feedback: [👍/👎/Maybe] + [optional comment]" capturing hiring manager decisions and reasoning.
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(Optional) Applicant Status Change: Move to custom status like "Skima Shortlisted" or "In Review" for pipeline tracking.
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(Optional) Custom Field Update: Populate configured custom fields with score, ranking, or AI confidence metrics.
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(Fallback) File Attachment: SKIMA_Evidence.pdf if detailed documentation or evidence summary is needed.
This bidirectional data sync ensures hiring managers always see real-time AI insights within HR Cloud's natural activity flow and timeline
Set Up Your HR Cloud Integration
HR Cloud + Skima AI integration is fast, secure, and requires minimal IT effort.
Below are 5 easy steps to set up your HR Cloud integration:
Create API credentials and service account in HR Cloud. Go to Settings → Integrations & API → API Credentials, create a new Service Account, and generate your Customer Key and Secret (or use Basic Auth credentials).
Configure webhook endpoints in HR Cloud. Add the Skima AI webhook URL in Settings → Integrations & API → Webhooks, and select event types for new applications, applicant updates, and job posting changes.
Set up tags and custom statuses (optional). Create the "Skima Screened" tag in Settings → Tags, and optionally add custom applicant statuses like "Skima Shortlisted" for better pipeline visibility.
On 2-3 test job requisitions, upload resumes as applications → confirm Match Scores appear in activity notes → submit HM feedback via shortlist link → verify the feedback writes back to HR Cloud as activity notes.
Go live on 3 pilot roles; enable Skima AI across all new applications. Get weekly ROI emails and checkpoint reviews at day 15 and day 30 to measure hiring velocity improvements.
Security &
Responsible AI
for HR Cloud
Integrations
Trust and compliance are key when integrating Skima AI with HR Cloud ATS. Our approach ensures candidate data stays secure, decisions remain transparent, and hiring managers stay in control while working within HR Cloud's security framework
- Skima AI gives match scores & reasons using resume-based evidence, with no auto-rejects. Hiring managers review and make final decisions.
- All HM decisions, notes, and shortlist actions are tracked as activity notes in HR Cloud for complete audit compliance.
- Role-based visibility, secure shortlist links with optional expiration, and redaction mode ensure data privacy and limit exposure to PII.
- Compliance: Encryption in transit (HTTPS/TLS) and at rest; Data Processing Agreement & subprocessors listed; SOC 2 Type II certified.
Skima AI combines explainable AI with strict security practices, ensuring your HR Cloud integrations remain compliant, auditable, and fair while avoiding bias and discrimination risks.
Customer Snapshot: 30-Day Pilot with HR Cloud ATS
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
Frequently Asked Questions
Everything you need to know about the HR Cloud Integrations
Does Skima AI integrate with HR Cloud ATS? How does it work?
Yes, Skima AI connects via HR Cloud's REST API and webhooks to score applicants, write back match scores and reasons through activity notes, tag candidates with "Skima Screened," and track hiring manager feedback in the applicant timeline.
What fields does Skima AI write back to HR Cloud?
Since HR Cloud uses activity notes as the primary write target for applicant records, Skima AI uses activity notes for Match Scores (0-100), reasoning, shortlist links, and HM feedback. Tags like "Skima Screened" are also applied for filtering. Optional custom fields can be updated if configured.
How long does the HR Cloud integration setup take?
HR Cloud integration setup takes 60-90 minutes, including API credential creation (Service Account), webhook configuration, tag setup, optional custom status creation, and validation on 2-3 test applications.
Are webhooks required for Skima AI to work with HR Cloud?
Webhooks are strongly recommended for real-time application scoring with HR Cloud, but Skima AI supports safe 10–15 minute polling if webhooks aren't available or prefer asynchronous updates.
Where will Match Scores and Reasons appear in HR Cloud?
Match Scores and Reasons appear as activity notes on the applicant record, providing a complete timeline of AI analysis, scoring methodology, and decisions within HR Cloud's natural workflow and audit trail.
Can manager feedback stay inside HR Cloud?
Yes, Skima AI writes hiring manager decisions and comments back to HR Cloud as activity notes on the applicant record, maintaining the complete feedback trail and enabling visibility for recruiters and admins.
What if our team has limited API permissions in HR Cloud?
Skima AI can work with limited permissions using activity notes and file attachments, though optimal functionality requires Service Account setup with notes:write and tags:write permissions for full feature access.
Does Skima AI support HR Cloud's multi-job applicant model?
Yes, Skima AI is designed to work with HR Cloud's candidate-centric model, where a single applicant can have applications across multiple job openings. Scores and feedback are tracked per application.
Will Skima AI automatically change applicant statuses in HR Cloud?
Status changes are optional and configurable. Most teams prefer recruiter-controlled status changes for transparency, though automated moves to custom statuses like "Skima Shortlisted" can be enabled if desired.
How often are match scores refreshed in HR Cloud?
Match scores update in real-time via webhooks when new applications arrive or candidate profiles change in HR Cloud. Periodic refreshes occur while job requisitions remain active and open for applications.