For a long time, we assumed better dashboards would lead to better decisions.

They didn’t.

Business Intelligence (BI) gave us visibility. It helped us understand what happened and why. But in many organisations, decision speed didn’t improve — and decision confidence often didn’t either.

The constraint was never data. It was decision-making. That’s why I increasingly think in terms of Decision Intelligence (DI), not Business Intelligence.

Decision Intelligence shifts the question from “What should we report?” to “What decision are we actually trying to enable — and how do we design it so it can be made well, consistently, and with trust?”

With AI and agentic systems entering the enterprise, this shift is no longer optional. We now need to be explicit about:
• which decisions remain human
• which are AI-assisted
• which can be automated
• and how accountability and governance are preserved across all three

Dashboards don’t decide. People do. And increasingly, people decide with machines.

The future of data leadership isn’t about producing more insight. It’s about designing better decision systems.

That’s the DnA of Decision Making.