AI Governance for Consumer and Business Value – A Practical Journey
1. Why AI Governance Matters for Us
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We work with sensitive consumer data, which demands a high standard of responsibility.
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Our purpose is clear: using AI for good, to benefit and empower our consumers and customers.
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That’s why AI governance is not optional—it’s foundational to how we build trust and ensure compliance.
2. Launching Our AI Governance Framework
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Our first AI governance framework was launched quickly, guided by key principles of privacy, transparency, fairness and accountability.
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It’s a living framework, continuously evolving as we learn.
3. From Framework to Practice
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We apply governance through controlled experimentation – starting with Proofs of Concept (PoCs).
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PoCs allow us to:
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Test AI’s potential in a safe and contained environment.
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Evaluate risks early, before full-scale deployment.
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Involve legal, data, and business stakeholders at the right time.
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Every pilot we start is deeply rooted in our beliefs and behaviours, strong ethical standard behind everything.
I will show examples of PoC.
4. Key Learnings from Our Journey So Far
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Start small, but start—don’t wait for the perfect framework.
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Governance is not just control, it’s an enabler of innovation.
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Embedding ethics and compliance early saves time and builds trust.
5. What’s Next: Evolving with the Ecosystem
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Preparing for incoming regulation (e.g., EU AI Act).
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Building internal knowledge and tooling.
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Staying open to collaboration and industry dialogue—we’re all learning together.