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Responsible AI Policy

1. Introduction

This Responsible AI Policy describes the principles and practices followed by iPrego Pte. Ltd., a company incorporated in Singapore, in the design, development, and operation of AI-powered features within the Prego platform.

The Prego platform may include AI-driven capabilities designed to assist business operations such as financial analysis, HR insights, and workflow automation.

iPrego Pte. Ltd. is committed to developing and operating AI systems responsibly, with a focus on transparency, accountability, and protection of user data.

2. Purpose of AI within the Prego Platform

AI capabilities in the Prego platform are intended to support business productivity and operational efficiency.

Examples of AI-powered features may include:

  • business forecasting
  • workflow recommendations
  • sales pipeline analysis
  • workforce analytics
  • automated classification of transactions
  • financial insights and analytics

AI functions are designed to assist decision-making, not replace human oversight.

3. Human Oversight

AI-generated outputs provided by the Prego platform are intended to support business users.

Users remain responsible for reviewing and approving:

  • automated recommendations
  • operational workflows
  • HR actions
  • financial decisions

AI outputs should be considered informational guidance rather than definitive instructions.

4. Data Protection and Privacy

iPrego Pte. Ltd. respects the privacy and confidentiality of customer data.

AI features operate within strict data protection practices.

Key principles include:

  • personal data is handled in accordance with the Singapore Personal Data Protection Act (PDPA)
  • customer data is processed only to deliver platform functionality
  • customer data remains under customer ownership

Customer data is not used for AI model training without explicit consent.

5. Transparency

We strive to ensure transparency in how AI systems operate within the Prego platform.

Where applicable, users will be informed when:

  • AI-assisted workflows are triggered
  • automated recommendations are provided
  • AI-generated insights are presented

This helps users understand when AI is involved in business processes.

6. Fairness and Responsible Use

AI systems should be used in ways that support fair and responsible business practices.

Users should not rely on AI outputs to make decisions that could result in unfair treatment or discrimination.

Organizations remain responsible for ensuring that their use of AI complies with applicable laws and regulations.

7. Security of AI Systems

AI features within the Prego platform are protected through platform security practices.

Security measures may include:

  • safeguards against unauthorized access
  • monitoring of system activity
  • secure infrastructure
  • access control mechanisms

These practices help maintain the integrity of AI systems.

8. Continuous Improvement

AI systems evolve over time.

iPrego Pte. Ltd. may improve AI capabilities through:

  • feedback from users
  • performance monitoring
  • product updates

These improvements are intended to enhance accuracy and reliability.

9. Limitations of AI Systems

AI technologies have inherent limitations.

Users should be aware that:

  • AI recommendations may require contextual interpretation
  • predictions may not always reflect real-world outcomes
  • AI outputs may contain inaccuracies

Human judgment should always be applied when making business decisions.

10. Reporting Concerns

Users who have concerns about AI functionality or behavior may report them to iPrego Pte. Ltd.

Reports may include:

  • potential misuse of AI features
  • unexpected system behavior
  • incorrect AI outputs

Reports will be reviewed and investigated where appropriate.

11. Updates to This Policy

This Responsible AI Policy may be updated periodically to reflect changes in technology, regulations, or platform capabilities.

The latest version will always be available on the Prego website.

Contact

For questions regarding AI governance or responsible AI practices: