Darwinbox Integration
Combine Skima Intelligence with Darwinbox
Integrate Skima AI and Darwinbox HCM to improve recruiting, mobility, and planning. Skima AI provides AI match scores, reasons, and predictive insights into Darwinbox's interface.
What You'll See in Darwinbox HCM with Skima AI
Integrating Skima AI with Darwinbox brings a suite of embedded AI insights across your recruitment, talent management, and workforce planning modules.
Match Score (0–100) displayed on candidate applications.
Reasons bullets detailing why each candidate aligns with the JD.
"SKIMA Screened" tag for quick filtering of AI-vetted applicants.
Internal talent rediscovery, uncovering qualified candidates in the database.
Predictive analytics for hiring forecasts and skill-gap identification.
A seamless AI-powered talent ecosystem that optimizes external hiring, maximizes internal mobility, and enhances strategic workforce planning.
Why Darwinbox Solutions Recruiting Teams Pick Skima AI
Darwinbox users choose Skima AI to enrich their HCM platform with comprehensive, actionable intelligence, all without altering existing processes.
Unified Talent Intelligence
AI insights across recruitment, performance, and workforce planning modules.
Internal Mobility Optimization
Automatically match employees to new roles using complete HCM data.
Cross-Module Context
Leverage performance ratings, career aspirations, and compensation data to inform hiring.
Transparent Collaboration
Managers access clear match rationales and development suggestions within Darwinbox.
What Skima AI Writes Back to Darwinbox HCM
| Writes back to | Field name | Type | Example |
|---|---|---|---|
| Candidate Application | Skima Match Score | Number (0–100) | 92 |
| Candidate Application | Skima Reasons | Long text (3–5 items) | "5 yrs sales; CRM cert; multilingual; high EQ" |
| Candidate Profile | Skima Screened Tag | Boolean | True |
| Internal Candidate | Rediscovery Score | Number (0–100) | 88 |
| Position | Workforce Prediction | JSON | {"hiring_need":0.8,"skill_gap":0.6} |
Events Skima AI reacts to: Application submitted/updated, Employee profile change, Position opening, Performance review completion, Skill assessment update, Career preference change.
How Does the Shortlist Loop Work?
Skima AI makes hiring collaboration inside Darwinbox HCM faster and easier by creating a seamless collaboration loop.
Data Pull
Skima AI retrieves candidate and position data via the Darwinbox API.
AI Analysis
Candidate profiles are scored and ranked, with evidence extracted from resumes.
Write-Back
Skima insights (scores, reasons, tags) are pushed back to Darwinbox custom fields.
Manager Review
Hiring managers view AI-ranked shortlists and can refine selections.
This process ensures transparent audit trails, faster decisions, and improved stakeholder alignment.
Field Map for Darwinbox HCM Integration
Darwinbox's extensible data model enables granular data exchange between Skima AI and your HCM environment
Skima AI securely retrieves essential HCM data to power AI decision-making:
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Candidate Data: Application details, resume text, source, referral info.
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Employee Data: Worker ID, personal demographics, employment history, etc.
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Position Data: Job requisitions, skill requirements, and hiring department.
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Organizational Data: Departments, cost centers, office locations, reporting hierarchies.
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Talent Analytics: Career interests, training records, succession plans, diversity metrics.
After processing, Skima AI writes back into Darwinbox modules:
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Application custom field: "Skima AI Match Score: [0–100]".
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Application custom field: "Skima AI Reasons: [AI bullet points]".
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Candidate tag: SKIMA Screened tag on applications.
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Employee profile field: Internal Rediscovery Score.
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Position custom field: Workforce Prediction JSON.
This comprehensive integration ensures talent insights are available across all HCM workflows and decision points
Set up Your Darwinbox Integration
Darwinbox HCM + Skima AI integration is secure, scalable, and requires minimal IT configuration.
Here are 6 steps to set up your Darwinbox integration:
Register an API client in Darwinbox with scopes for Candidates, Employees, Positions, and Webhooks.
Configure OAuth 2.0 using the client's ID/secret and Darwinbox token endpoints.
Add custom fields (Match Score, Reasons, Rediscovery Score) to Candidate Application and Employee objects.
Enable webhooks for the application. created, profile. updated, and position. opened events.
Validate end-to-end: submit sandbox applications, confirm AI scoring, and data writes in Darwinbox.
Roll out to production with a phased plan, define success metrics, and schedule regular model reviews.
Security &
Responsible AI
for Darwinbox
Integrations
Skima AI's enterprise-grade security and ethical AI practices ensure compliance, transparency, and fairness
- All API calls use TLS; data at rest is encrypted in Skima AI secure vaults.
- Fine-grained permissions govern who can view/edit AI fields in Darwinbox.
- Every AI writes back log,s user, timestamp, and rationale for full traceability for audit trails.
- Compliance with SOC 2, ISO 27001, GDPR, and local data residency requirements.
- Regular fairness audits, algorithmic explainability, and manager-reviewed exceptions ensure equitable recommendations.
Skima AI combines cutting-edge AI with Darwinbox HCM's trusted security architecture to deliver compliant, auditable, and fair talent intelligence across your human capital management operations.
Customer Snapshot: 30-Day Pilot with Darwinbox HCM
58%
Time-to-screen
2X
Interviews from top-10
+24 NPS
HM Satisfaction
Frequently Asked Questions
Everything you need to know about the Darwinbox Integrations
How does Skima AI connect to Darwinbox?
Skima AI connects using OAuth 2.0–secured REST APIs and webhook subscriptions, enabling secure, real-time data exchange between Darwinbox modules and Skima AI's AI-driven recruiting engine.
What Darwinbox objects does Skima AI enhance?
Skima AI enhances Candidate Application, Candidate Profile, Employee, and Position objects by adding AI scores, reasoning, and rediscovery insights that strengthen hiring and internal mobility decisions.
Can Skima AI surface internal mobility opportunities?
Yes, Skima AI analyzes employee performance, skill sets, and career interests within Darwinbox to recommend ideal internal candidates for open positions, promoting talent mobility and retention.
What permissions are required?
API access requires read permissions for Candidates, Employees, and Positions, and write permissions for custom fields, tags, and AI-generated attributes essential for two-way data synchronization.
How often are AI insights refreshed?
AI insights update in real time, automatically triggered by new job applications, profile edits, or position postings within Darwinbox to ensure continuously accurate and actionable recommendations.
Does Skima AI support Darwinbox's multi-tenant setups?
Yes, Skima AI fully supports Darwinbox's multi-tenant environments, managing multiple business units, regional configurations, and localized workflows seamlessly within a unified integration framework.
How does Skima AI ensure data privacy?
All exchanged data is tokenized, encrypted, and processed within secure cloud environments, ensuring compliance with enterprise-grade privacy, GDPR, and ISO 27001 security standards.
Can existing Darwinbox customizations affect the integration?
No, Skima AI dynamically adapts to Darwinbox custom fields and workflows, mapping configurations to match each organization's specific schema without requiring structural changes.
How does workforce planning integration work?
Skima AI writes predictive analytics as JSON data into Position records, feeding directly into Darwinbox workforce planning dashboards to improve forecasting and strategic headcount management.
What support is available for integration issues?
Skima AI provides integration documentation, sandbox environments, technical account managers, and 24/7 developer assistance to ensure seamless implementation and ongoing operational reliability.