Don’t unleash enterprise AI unless it’s governed by the Rule of Record

For the past decade, the undisputed center of gravity in enterprise data was the lakehouse. Architecture diagrams across the Fortune 500 were drawn around a single premise to centralize and optimize every byte of data into massive, flexible storage layers for offline batch reporting, analytical dashboards, and model training.

And that worked as long as software was designed for humans sitting in front of screens, mouse in hand, reviewing charts.

But now the industry is waking up to an uncomfortable truth – a data lake can tell an analyst what happened six hours ago, or even six milliseconds ago, but it cannot tell an agent what it’s permitted to do next.

We are entering an era where agents don’t just inform decisions — they carry them out. This means the technical bottleneck is no longer accurately answering simple questions. It is state, context, and operational execution.

This requires an architectural...

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