Klervoy argues that responsible AI is essential for B2B companies seeking to scale AI while maintaining trust, compliance and long-term value. Rather than treating governance as an obstacle, organizations should build responsibility into AI from the start. Its framework centers on five pillars: explainability, fairness and bias assessment, data governance and privacy, security and robustness, and human oversight and accountability. Companies should inventory and classify AI systems, establish cross-functional governance, integrate safeguards throughout development, train employees and continuously measure performance. With the EU AI Act raising compliance requirements, responsible AI can reduce regulatory and operational risk while creating a sustainable competitive advantage.

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