ZingHR Integration
Combine Skima Intelligence with ZingHR HCM
Skima AI brings talent intelligence to ZingHR HCM, delivering AI candidate scores, internal talent rediscovery, and predictive workforce insights across your entire human capital management ecosystem.
What You'll See in ZingHR HCM with Skima AI
When you integrate Skima AI with ZingHR HCM, your HR teams get AI-driven insights directly within the ZingHR platform.
Match Score (0-100) displayed on job applications and candidate profiles.
Reasons bullets (why the candidate matches the job description).
"SKIMA Screened" tag for quick filtering across recruitment workflows.
Internal talent rediscovery surfaces qualified employees for open positions.
Manager collaboration and internal mobility are aligned with ZingHR.
Outcome: A unified AI-powered talent ecosystem that optimizes external hiring while maximizing internal mobility and workforce planning accuracy within your ZingHR HCM environment.
Why ZingHR Solutions Recruiting Teams Pick Skima AI
ZingHR HCM users integrate Skima AI to enhance their HCM platform with intelligent insights across the entire employee lifecycle, without disrupting existing workflows.
Unified Talent Ecosystem
All AI insights appear across ZingHR's recruitment, talent, performance, and workforce modules.
Internal Talent Optimization
Rediscover qualified employees for new roles using ZingHR, using performance, skills, and career data.
Cross-Module Intelligence
Connect hiring decisions to performance, pay, skills, and career growth insights.
Seamless Manager Experience
Single platform for hiring and mobility with built-in approvals and collaboration.
What Skima AI Writes Back to ZingHR HCM
| Writes back to | Field name | Type | Example |
|---|---|---|---|
| Job Application | Skima AI Match Score | Number (0–100) | 86 |
| Job Application | Skima Reasons | Long text (3–5) | 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, Worker profile changes, Position opening, Performance review completion, Skills assessment updates, Career interest updates, Training completion, Competency evaluation.
How Does AI-Powered Internal Talent Rediscovery Work?
Skima AI transforms how ZingHR HCM users discover and engage internal talent. It leverages rich employee data from ZingHR's integrated modules for intelligent career matching and workforce optimization.
Data Analysis and Instant Matching
Skima AI matches internal candidates using profiles, performance, skills, and career data.
Manager Collaboration
Managers get AI-ranked candidates with rationale and development insights in ZingHR.
Employee Engagement
Employees receive personalized mobility and growth recommendations via ZingHR Career Hub.
Seamless Workflow Integration
All actions sync to ZingHR HCM for audit trails, analytics, and succession planning.
The result is proactive internal mobility that increases retention, reduces external hiring costs, and maximizes organizational talent potential.
Field Map for ZingHR HCM Integration
ZingHR HCM's comprehensive data model ensures that information flows smoothly between Skima AI and your human capital management system.
Skima AI securely retrieves comprehensive HCM data to power intelligent talent decisions:
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Worker Data: ID, personal info, job history, qualifications, training, performance ratings, goals, pay, and exit details.
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Position Data: Profiles, descriptions, requirements, hierarchy, reporting, cost centers, and locations.
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Skills & Competency Data: Assessments, certifications, training, skill levels, interests, and development plans.
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Organizational Data: Structure, hierarchy, cost centers, departments, units, designations, and locations.
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Performance Data: Reviews, ratings, goals, development plans, feedback, and performance trends.
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Recruiting Data: Applications, profiles, interviews, assessments, preferences, status, and tracking.
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Attribute Data: Custom fields for employee type, category, cost center, and organizational classification.
After analysis, Skima AI writes structured insights back across ZingHR HCM modules:
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Job Application custom field: Skima Match Score (0–100)
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Job Application custom field: Skima AI Reasons (detailed evidence and reasoning)
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Candidate tag: Skima Analyzed (True/False)
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Candidate note: Shortlist link for manager review and collaboration
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Worker custom field: Internal Mobility Score for open positions
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Worker tag: Skima Recommended for [Position Name]
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Note: Development recommendations aligned with career interests
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Career insight: Linked to succession planning for internal growth
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Skill analysis: Highlights gaps and development priorities
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Hiring prediction: Recommends future hiring needs
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Succession readiness: Flags critical roles with readiness indicator
This comprehensive integration ensures talent insights are available across all HCM workflows and decision points.
Set up Your ZingHR Integration
ZingHR HCM + Skima AI integration leverages ZingHR's robust REST API architecture and security model for enterprise-grade talent intelligence.
Here are 6 steps to set up your ZingHR HCM integration:
Create an API account with read access to employee and application data and write access to custom fields and tags across eRecruitment, Worker, and Talent modules.
Generate OAuth 2.0 tokens for secure API access with defined scopes for each module, ensuring safe storage and auto-refresh within ZingHR’s authentication framework.
Configure custom fields for Skima Match Score, Reasons, and Analyzed tag. Map Worker, Position, and Job Application objects aligned with organizational structures and classifications.
Enable real-time sync via ZingHR APIs and webhooks for job applications, worker updates, new positions, performance reviews, and competency changes, triggering AI analysis.
Test on pilot jobs by uploading candidates, validating AI scores, mobility suggestions, and cross-module data visibility within manager portals.
Deploy in phases—start with eRecruitment, expand to mobility and planning, track success metrics, and refine integration through continuous feedback.
Security &
Responsible AI
for ZingHR
Integrations
Enterprise-grade security and ethical AI practices ensure compliant, transparent, and fair talent decisions across your ZingHR HCM ecosystem.
- Skima AI offers explainable match scores and career recommendations, backed by evidence bullets and audit trails visible within ZingHR.
- AI recommendations, manager decisions, talent mobility actions, and internal hire outcomes are tracked in ZingHR HCM for complete visibility, compliance, and historical analysis.
- Enterprise security standards include role-based access controls aligned with ZingHR's permission model, AES 256-bit encrypted data transmission, SSL/TLS 1.2 protocol, and compliance certifications, including SOC 2 Type II and GDPR compliance.
- Bias testing, algorithmic transparency, fairness auditing, and continuous monitoring ensure equitable talent decisions across all organizational levels and demographics.
- ZingHR's cloud infrastructure on Microsoft Azure with a 99.99% uptime SLA ensures data resilience and disaster recovery capabilities for mission-critical talent operations.
Skima AI combines cutting-edge AI with ZingHR HCM's trusted security architecture to deliver compliant, auditable, and fair talent intelligence across your human capital management operations.
Frequently Asked Questions
How does Skima AI integrate across ZingHR HCM modules?
Skima AI connects via ZingHR’s REST APIs using token-based authentication, updating eRecruitment, Talent, and Workforce modules with real-time insights through custom fields, tags, and synchronized data.
What business objects does Skima AI enhance in ZingHR HCM?
It enriches Worker, Position, and Job Application objects with AI match scores, reasoning notes, and recommendations while maintaining ZingHR’s data integrity, structure, and compliance model.
Can Skima AI help with internal talent mobility and career development?
Yes, it analyzes worker data—performance, competencies, training, and interests, to recommend internal roles, development plans, and career paths through ZingHR’s Talent Management workflows.
How does workforce planning intelligence work with ZingHR HCM?
Skima AI delivers predictive hiring analytics, skills gap insights, and succession planning data integrated within ZingHR’s Workforce Planning for strategic workforce modeling and capability management.
What permissions are needed for ZingHR HCM integration?
Requires API access with read permissions on Worker, Position, Job Application, and Competency objects, and write access for tags, notes, and custom fields across modules.
How does Skima AI handle ZingHR's security and compliance requirements?
It supports ZingHR’s role-based permissions, maintains audit trails, encrypts data in transit and at rest, and complies with SOC 2, GDPR, and enterprise governance standards.
Can existing ZingHR HCM customizations affect the integration?
No, Skima AI adapts to custom fields, hierarchies, and attribute matrices, ensuring seamless mapping, accurate data flow, and tailored recommendations within your existing configuration.
How does AI scoring work for both external candidates and internal employees?
External scoring focuses on job fit and qualifications, while internal scoring factors in performance, competencies, career growth, and development potential within the organizational context.
Does Skima AI support ZingHR's succession planning and talent management features?
Yes, it enhances succession planning with AI-driven readiness scores, internal candidate recommendations, and skills gap insights within ZingHR’s development and career pathing modules.
How often are AI insights refreshed across ZingHR modules?
AI insights refresh automatically in real time when applications are submitted, profiles updated, or positions created, ensuring up-to-date intelligence across all modules.