Finding Your Path To Safe AI At Scale

AI adoption is accelerating across organizations, but many leaders are discovering that successful deployment does not automatically translate into safe, scalable AI. This executive summary explores insights from a study of 300 technology and business leaders, revealing the governance, operational readiness, and data trust challenges that often limit AI initiatives as they grow. It highlights why organizations must move beyond implementation and focus on building the foundations required for responsible AI adoption.

The findings introduce the Data & AI Trust Maturity Model, a practical framework for assessing AI readiness across governance, security, resilience, and accountability. Readers will gain valuable benchmarks and actionable insights to strengthen AI oversight, enhance compliance, and build the confidence needed to scale AI securely and responsibly across the organization.

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