Rippling Integration
Combine Skima Intelligence with Rippling HCM
Skima AI brings intelligent talent management to Rippling HCM, delivering AI candidate scores, internal talent rediscovery, and predictive workforce insights.
What You'll See in Rippling HCM with Skima AI
When you integrate Skima AI with Rippling HCM, your HR and recruiting teams get AI-driven insights that span recruitment, talent mobility, and workforce planning directly within the Rippling platform.
Match Score (0-100) displayed on job applications for quality assessment.
Reasons bullets explaining candidate-to-job fit.
"SKIMA Analyzed" tag for quick filtering across the recruiting pipeline.
Shortlist links embedded in application records.
Internal talent rediscovery surfaces qualified candidates for open roles.
A unified AI-powered talent ecosystem optimizing external hiring while maximizing internal mobility and retention, all within Rippling.
Why Rippling Users Integrate Skima AI
Rippling users integrate Skima AI because it enhances their HCM platform with advanced AI capabilities while keeping the single-system approach that eliminates data silos.
Unified Talent Intelligence
AI insights appear within Rippling's recruiting, talent management, and workforce planning workflows.
Cross-Functional Collaboration
Link hiring decisions with performance, career paths, and manager feedback for holistic insights.
Seamless Manager Experience
Single platform for external hiring, internal mobility, and talent planning without data silos.
Compliance & Audit-Ready
All recommendations and decisions are tracked in Rippling's immutable audit trail for transparency and compliance.
What Skima AI Writes Back to Rippling HCM
| Writes back to | Field name | Type | Example |
|---|---|---|---|
| Job Application | Skima AI Match Score | Number (0–100) | 86 |
| Job Application | Skima Reasons | Long text | 5 yrs Java dev; AWS cert; team lead |
| Job Application/Note | Shortlist Link | URL | https://.../shortlist/abc |
| Candidate | Skima Analyzed | Tag | Skima Analyzed: True/False |
Events Skima AI Reacts To: Job Application created/updated, Job Requisition opened, Worker profile changes, Performance review completion, Skills assessment updates, Career interest updates.
How Does AI-Powered Internal Talent Rediscovery Work?
Skima AI transforms how Rippling HCM users discover and engage internal talent. It leverages rich employee data for intelligent career matching and workforce optimization.
Data Analysis & Instant Matching
Skima AI uses Rippling's employee data to match qualified internal candidates for open roles.
Manager Collaboration
Hiring managers get AI-ranked internal candidates with rationale and skill alignment in Rippling.
Career Development Integration
Employees get personalized growth paths through Rippling's career tools, encouraging proactive development.
Seamless Workflow Integration
All actions sync to Rippling's audit trail for transparency and compliance.
Proactive internal mobility that increases retention, reduces hiring costs, and maximizes talent potential.
Field Map for Rippling HCM Integration
Rippling HCM's unified data model and custom field architecture ensure that data flows smoothly between Skima AI and your human capital management system
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Worker Data: ID, personal info, employment history, performance, pay, title, tenure, manager.
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Skills Data: Certifications, training, assessments, ratings, and career levels.
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Position Data: Requisitions, profiles, requirements, hierarchy, departments, locations.
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Career Data: Interests, development plans, promotions, succession readiness.
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Performance Data: Reviews, goals, calibration, manager feedback.
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Recruiting Data: Applications, profiles, preferences, feedback, and stage progress.
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Job Application custom field: Skima Match Score (0–100).
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Job Application custom field: AI Evidence (detailed reasoning).
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Candidate tag: Skima Analyzed.
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Candidate notes: Shortlist link and summary.
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Worker tag: Qualified for internal opportunities.
This bidirectional data sync ensures recruiting teams always see real-time AI insights within Rippling's natural activity flow
Set up Your Rippling Integration
Rippling HCM + Skima AI integration is secure, scalable, and requires minimal IT configuration.
Here are 6 steps to set up your isolved integration:
Create an API token with scopes: employee: read, candidate-applications: read, job-requisitions: read, customFields: write; use Bearer authentication with HTTPS and token refresh.
Handle API rate limits using exponential backoff for stability and reliability.
Configure Rippling custom fields for Skima data or create a custom object for shortlist metadata and sync history.
Document field mappings for Worker, Job Requisition, Job Application, Position, and Performance Review objects.
Set up Workflow Studio triggers for application updates, requisition openings, profile changes, and review completions.
Test AI scoring and talent matching on sample requisitions, then deploy with role-based permissions and performance tracking.
Security &
Responsible AI
for Rippling
Integrations
Enterprise-grade security, ethical AI practices, and compliance frameworks ensure fair, transparent, and auditable talent decisions across your Rippling HCM ecosystem
- Match scores backed by evidence with detailed reasoning bullets for recruiter review.
- All hiring decisions are tracked in Rippling's immutable audit trail for transparency and regulatory compliance.
- Role-based access control (RBAC) respects department and team permissions.
- Data encryption in transit (HTTPS) and at rest.
- OAuth 2.0 authentication with secure token management.
- SOC 2 Type II, ISO 27001, GDPR, CCPA compliant.
- Regular bias testing across demographic groups and job families.
- Human-in-the-loop: Recruiters retain final decision authority.
Skima AI combines cutting-edge AI with Rippling's trusted security architecture to deliver compliant, auditable, and fair talent intelligence across your human capital management operations.
Customer Snapshot: 30-Day Pilot with Rippling HCM
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
Frequently Asked Questions
Everything you need to know about the Rippling Integrations
How does Skima AI integrate with Rippling HCM and synchronize data?
Skima AI integrates with Rippling's REST API using OAuth 2.0 authentication, accessing the unified employee graph and updating insights via custom fields, tags, and webhooks for real-time synchronization.
What specific Rippling business objects does Skima AI access and enhance?
Skima AI reads Worker, Job Requisition, Job Application, Position, and Performance Review objects while writing insights only to custom fields, tags, and notes for safety and consistency.
Can Skima AI enhance internal mobility within Rippling's ecosystem?
Yes, Skima AI evaluates employee performance metrics, skill profiles, and career aspirations to recommend suitable internal roles and career progression paths integrated into Rippling's talent tools.
How does Skima AI deliver workforce planning intelligence in Rippling?
By analyzing skill trends, attrition risks, and performance data, Skima AI generates predictive workforce analytics integrated with Rippling's headcount and succession planning dashboards for strategic decision-making.
What level of API permissions are required for Rippling integration?
An authorized API token must have read access to Worker, Job Requisition, Job Application, and Position objects, and write permissions for custom fields, tags, and notes.
How does Skima AI ensure compliance and data protection within Rippling?
Skima AI aligns with Rippling's role-based access controls, audit logs, and data handling standards, maintaining SOC 2, GDPR, and CCPA compliance across all integration activities.
Do Rippling's existing customizations or workflows affect Skima AI integration?
No, Skima AI adapts smoothly to custom fields, workflows, and business objects, maintaining compatibility with any tailored Rippling configuration or enterprise schema.
How does AI scoring differ between external candidates and internal employees?
External candidates are scored on résumé and job fit, while internal employees are assessed using performance, skills, and career growth indicators for development-based matching.
Does Skima AI offer real-time updates within Rippling's environment?
Yes, webhook-driven updates trigger instantly through Rippling Workflow Studio events, while optional polling every 10–15 minutes ensures backup synchronization if webhooks are unavailable.
How frequently are AI insights and match scores refreshed in Rippling?
AI insights refresh automatically and continuously whenever applications are submitted, employee profiles are updated, or new job positions are created within the Rippling platform.