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AI Ethics

Safe, sovereign, and governable. We build AI solutions that you can explain, justify, and monitor.

author
Jasper Verbunt
CEO & Founder

Without oversight, automation is a risk

AI accelerates processes and enables scalable growth. But black-box automation is not part of our approach. At Redkiwi, your data remains your property, decision-making processes are transparent, and you always retain control over the parameters.

We do not promise unrealistic “full autonomy” until a system has demonstrably and safely delivered on that promise in practice. We automate where it adds value and build safeguards where risks arise.

Four Principles of Responsible AI

  • 1. Transparent & Explainable

    In your dashboard, you can see exactly what an AI agent is doing, why a decision was made, and what the outcome is. No black-box algorithms.

  • 2. 100% Data Ownership

    Your customer and business data are never used to train public models. Your data remains sovereign, secure, and yours.

  • 3. Human Oversight (Human-in-the-Loop)

    AI agents do the groundwork, identify opportunities, and perform tasks within predefined parameters. Essential decisions and exceptions remain with your team.

  • 4. Scientifically Validated

    Our AI architecture and ethical frameworks are evaluated within RAAIT ( Responsible Applied AI), a partnership with Utrecht University of Applied Sciences, Amsterdam University of Applied Sciences (HvA), and Rotterdam University of Applied Sciences.

Read how we apply AI in practice

Download our AI user manual

Compiled based on our experience

Meet our AI specialists

Jasper Verbunt
CEO & Founder
Reinoud Wolff
Chief Commercial Officer