Oracle HCM Integration
Bring Skima Intelligence to Oracle HCM
Skima AI provides AI candidate scoring, reasoning, and feedback directly within Oracle Fusion Cloud HCM for faster hiring decisions while keeping your existing workflows.
What You'll See in Oracle HCM with Skima AI
Integrating Skima AI into Oracle HCM's recruiting module delivers AI-driven insights at every stage of talent acquisition.
Match Score (0–100) displayed on applications & internal talent profiles.
Reasons bullets (why the candidate matches the JD or internal opportunities).
"SKIMA Screened" tag for quick filtering across recruitment.
Shortlist page for managers (Approve/Skip + optional note).
Activity note that captures manager feedback for audit trail.
A top 10 shortlist that auto-updates as new applications arrive, ensuring recruiters always focus on the best talent.
Why Oracle HCM Teams Pick Skima AI
Oracle HCM users pick Skima AI because it enhances recruiting with intelligent scoring, matching, and collaboration without disrupting existing systems.
Unified Platform
All AI insights appear within the Oracle HCM recruiting screens, eliminating tool switches.
Seamless Collaboration
Managers approve or skip candidates in context; Skima AI writes feedback back into HCM.
Fresh Rankings
New candidate submissions and resume updates trigger instant re-scoring via Atom feeds or polling.
Rediscover Past Talent
Skima AI leverages historical candidate data to surface qualified profiles already in HCM.
What Skima AI Writes Back to Oracle HCM
| Object | Field name | Type | Example |
|---|---|---|---|
| recruitingCandidateAssessmentResults | matchScore | Number (0–100) | 92 |
| recruitingCandidateAssessmentResults | Skima Reasons | Long text | "5 yrs Java; AWS; team lead" |
| Job Application custom field | skimaScreened | Boolean/Flag | true |
| Job Application custom field | shortlistLink | URL | https://…/skima/shortlist/xyz |
| Event Attachment | skimaEvidence.pdf | File | PDF containing detailed matching evidence |
| Application Comment | managerFeedback | Text (👍/👎/Maybe) | "Great culture fit" |
| Application Comment | Manager Comment | Short text | "Prioritize for phone screen" |
Events That Trigger Skima AI Actions: Application creation/updates, stage changes, and attachment uploads via Atom feeds or safe 10–15 min delta polling.
How the Shortlist Loop Works
Skima AI enhances collaboration within Oracle HCM by creating a feedback loop.
Here's how it works:
Recruiter Shares the shortlist
A secure, no-login shortlist link is generated and added as an activity note on the opportunity record.
Manager Gives Feedback
Manager clicks 👍/👎 and adds an optional note (no extra login required).
Skima AI Updates Oracle
Skima AI writes these decisions back into Oracle HCM.
Recruiter Acts on Insights
The recruiter sees an explainable, AI-ranked top-10 list and moves the right candidates forward with confidence.
This process ensures transparent audit trails, faster decisions, and improved stakeholder alignment.
Field Map for Oracle HCM Integration
Oracle recruiting teams and IT admins can understand exactly what data Skima AI pulls in and pushes back with the help of a clear data flow map, ensuring a smooth setup.
Skima AI securely retrieves:
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Requisition data: ID, title, description, department, location via /recruitingJobRequisitions and Atom feeds.
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Candidate demographics: ID, name, email, phone, location via /recruitingCandidates.
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Resumes & attachments: via /recruitingJobApplications/{id}/child/attachments.
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Application events: stage changes and timestamps via polling or Atom feeds.
After scoring and ranking, Skima AI writes back:
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Assessment results: POST to /recruitingCandidateAssessmentResults (matchScore, reasons).
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Application updates: PATCH on /recruitingJobApplications/{id} to set skimaScreened, shortlistLink, and manager feedback.
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Attachments: POST to /recruitingUIEventDetails/{eventId}/child/attachments for skimaEvidence.pdf.
This comprehensive integration ensures talent insights are available across all HCM workflows and decision points.
Set Up Your Oracle HCM Integration
The integration of Oracle HCM and Skima AI leverages the power of the Oracle Fusion Cloud HCM environment to provide enterprise-grade talent intelligence.
Here are 6 steps to set up your Oracle HCM integration:
Create an integration user with read privileges on requisitions, candidates, and applications, and write privileges on assessments and comments.
Register an OAuth 2.0 client or configure Oracle Integration Cloud with the HCM.
Enable Atom feeds for recruiting objects or establish 10–15 min delta polling.
Define custom attributes in HCM for matchScore, reasons, skimaScreened, and shortlistLink.
Test on sandbox requisitions: upload a resume → verify matchScore/reasons → approve via shortlist link → confirm feedback in HCM.
Go live on pilot roles and schedule day-15/30 success metrics.
Security &
Responsible AI
for Oracle HCM
Integrations
When you integrate Skima AI with Oracle, trust and compliance are guaranteed, and candidate data remains secure, and hiring decisions stay transparent.
- Data encryption TLS in transit and AES-256 at rest.
- Role-based access is scoped via HCM REST security roles and privileges.
- All manager actions and AI insights are logged in application comments and attachments.
- Reasons are resume-based and human-readable, with no automated rejections.
- Compliance: DPA, SOC 2, GDPR, and Oracle's security subprocessors framework.
Skima AI combines explainable AI with strict security practices to ensure your Oracle integrations are compliant, auditable, and fair.
Customer Snapshot: 30-Day Pilot with Oracle HCM
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
Frequently Asked Questions
Everything you need to know about the Oracle HCM Integrations.
How does Skima AI integrate across Oracle HCM modules?
Skima AI integrates via Oracle Fusion Cloud HCM REST APIs or Oracle Integration Cloud Adapter, writing AI insights into Recruiting, Talent Management, and Workforce Planning using custom attributes, business objects, and event-driven workflows.
What business objects does Skima AI enhance in Oracle HCM?
Skima AI enriches Job Requisition, Job Application, Candidate, Worker, and Position objects with match scores, rationale, and recommendations, seamlessly fitting within Oracle's secure data model and ensuring cross-module visibility.
Can Skima AI help with internal talent mobility and career development?
Yes. Skima AI analyzes internal worker profiles, skills, and performance data to recommend career paths and internal opportunities, integrating with Oracle Career Development and Talent Review dashboards for seamless talent mobility.
How does workforce planning intelligence work with Oracle HCM?
Skima AI delivers predictive hiring analytics, skill gap analyses, and succession insights by syncing with Oracle Workforce Modeling and Planning, enabling strategic headcount forecasting and budget allocation within the Fusion Planning framework.
What permissions are needed for Oracle HCM integration?
An integration user requires REST roles granting read on Job Requisitions, Candidates, Applications, and Workers; write on Candidate Assessments, Application Comments, and custom attributes to capture AI fields and feedback.
How does Skima AI handle Oracle HCM's security and compliance requirements?
Skima AI operates under Oracle HCM's security model, leveraging role-based REST privileges, audit logging for all AI actions, TLS encryption in transit, AES-256 at rest, and adherence to SOC 2, GDPR, and Oracle subprocessors.
Can existing Oracle HCM customizations affect the integration?
Skima AI adapts to custom objects, UI Extensions, and workflows. It maps AI fields to existing custom attributes or creates new ones, ensuring compatibility with your Oracle HCM configuration and business rules.
How does AI scoring work for both external candidates and internal employees?
Skima AI applies tailored algorithms: candidate scoring focuses on resume and job-match relevance, while internal assessments incorporate performance, tenure, and career aspirations, delivering context-aware recommendations across both use cases.
Does Skima AI support Oracle HCM's native AI features?
Yes. Skima AI complements Oracle's embedded AI and Recruiting Insights by providing explainable scores and rationale, integrating alongside native features without conflict, enhancing overall talent intelligence.
How often are AI insights refreshed across HCM modules?
AI scores and recommendations update in real time upon resume or profile changes, application events, and position updates, ensuring that Recruiting, Career Development, and Planning modules always reflect current intelligence.