I’ve had the privilege of working with some brilliant colleagues throughout my career. But the strongest professional relationships, especially in the C-suite, aren’t built overnight. They’re built over time on a foundation of trust and a clear understanding of roles, responsibilities, and decision-making authority.

The same principle applies to AI. People won’t rely on AI systems unless they understand and trust the information and decisions behind them. And for AI to deliver meaningful results, it needs a strong foundation.

That foundation has two essential components. The first is a single, trusted source of truth. That means one authoritative record that determines which system prevails when data conflicts arise, identifies who owns each asset, and shows whether it is compliant at any given moment. The second is governance: clear decisions made in advance about where human oversight is required before an automated action can proceed.

In short, the foundation requires data you can trust and a live human in the loop.

You might have gotten away with delaying those decisions in the past. Not anymore, because the money is already spent. Our recent survey shows that 56% of organizations are implementing AI broadly across different workflows or at the scale where the business depends on it. Just 2% of those surveyed reported not using AI at all. Similar to relationships in your career, automation must be built on clear understanding, which builds trust.

AI does a good job processing information and recommending actions when it can pull information from a trusted system of record.

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