Integration Policy

1. Purpose

This policy defines how integrations are developed, implemented, tested, monitored, and maintained to ensure data security, performance, privacy compliance, and a superior user experience across all connected systems.

2. Scope

This policy applies to all integration points between the Xipp.ai platform and external systems, including but not limited to:

• Applicant Tracking Systems (ATS)
• Human Resource Information Systems (HRIS)
• Job boards and sourcing platforms
• Scheduling and calendar tools
• Background check and assessment tools
• Any third-party service that exchanges candidate or employer data with Xipp.ai

3. Security and Compliance Standards

To ensure data integrity, confidentiality, and regulatory compliance:

a. Secure Communication & Authentication

• All integrations must use encrypted communications (HTTPS/TLS).
• Authentication should follow industry standards such as OAuth 2.0 or secure token-based systems to protect API access.

b. Data Protection & Privacy Compliance

• Data handling must comply with applicable privacy laws, including GDPR, CCPA, and other relevant regional data protection regulations.
• Personal data must be encrypted both in transit and at rest.
• Integrations must support processes for data subject rights, including access, correction, and deletion upon request.

c. Access Control

• Role-Based Access Control (RBAC) should be enforced so that only authorized users or systems can access or modify data.

4. Integration Development Requirements

All integrations must adhere to the following technical and operational best practices:

a. Clear API Documentation

• Partners must provide up-to-date API documentation that details endpoints, data models, authentication schemes, rate limits, and error handling.

b. Data Mapping and Integrity

• Ensure all mapped data fields are clearly defined and validated to prevent duplication, inconsistency, or loss of data during synchronization.

c. Fail-Safe and Error Handling

• Integrations should have robust error-handling logic with meaningful error responses and retry mechanisms where appropriate.

5. Testing and Quality Assurance

a. Sandbox Environment

• All integrations must be tested in a non-production sandbox environment before deployment.
• Verification should include security, performance, data accuracy, and load handling tests.

b. Regression & Continuous Testing

• After deployment, integrations should be periodically re-tested when changes are made to either side of the connection to ensure ongoing reliability.

6. Monitoring and Maintenance

a. Performance Monitoring

• Integration performance should be monitored to detect failures, latency issues, or unexpected behavior.
• Logging must be in place for audit trails, debugging, and compliance reporting.

b. Versioning and Change Communication

• Integrations must support API versioning to minimize disruption.
• Partners must notify Xipp.ai in advance of API changes, deprecations, or planned outages.

7. Ethical Use and Transparency

a. Responsible AI Practices

• AI-driven decisions that affect candidate outcomes should be transparent and explainable.
• Xipp.ai encourages integrations that allow for human review and override of automated recommendations to promote fairness and accountability.

b. Candidate Awareness

• When interoperable systems affect candidate experience or data use (e.g., automated screening), the candidate should be informed as required by applicable law or best practices.

8. Termination and Suspension

Xipp.ai reserves the right to suspend or terminate any integration if it:

• Violates this policy or security standards
• Harms system performance or data integrity
• Fails to comply with regulatory or contractual obligations

Affected stakeholders will be given notice where feasible and opportunities to remediate issues before termination.

9. Support and Contact

For technical integration assistance, API access questions, or to report integration issues, contact the Xipp.ai Integration Support Team: info@xipp.ai