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The Data Governance Agent Series

A six-part series on how a high-stakes, time-boxed data rationalization project became the forcing function for autonomous, agentic data governance — and what it taught me about freeing data stewards from the perpetual quicksand of metadata curation and ever-shifting data quality rules.

Author’s Note

This series explores how AI Agents can help preserve, scale, and govern institutional knowledge at enterprise scale. It uses a business merger as its backdrop because mergers compress the underlying challenge into a visible and urgent form.

The observations throughout this series are intended to illustrate common patterns in enterprise data governance, metadata management, and knowledge capture. The focus is on the governance challenges themselves rather than any specific organization, transaction, or business outcome.

All scale and effort figures throughout this series are representative ranges intended to convey magnitude, not exact operational metrics.

Act I · Discovery

Understanding the Problem

Part 1 · A High-Stakes Data Rationalization, Tens of Petabytes, and the Question That Silenced the Room June 17, 2026 · A high-stakes merger surfaced a governance question that no amount of manual effort could answer — and set the stage for everything that followed.

Part 2 · Why Manual Metadata Curation Was Never Going to Work — coming soon Manually curating metadata for a multi-petabyte data ecosystem would have taken thousands of hours. The problem was never effort — it was that the approach itself didn't scale, and never would. Especially not on the timeline we had.

Act II · Execution

Building the Solution

Part 3 · The Day We Told Data Stewards to Stop Curating Metadata — coming soon Telling experienced data stewards to stop hand-curating metadata sounded like heresy. It turned out to be the decision that unlocked everything else.

Part 4 · Building the First Governance Copilot — coming soon Before the agent came the copilot. How we built the first AI assistant for data governance — and where it hit its limits.

Act III · Transformation

Reimagining Governance

Part 5 · From Copilot to Data Governance Agent — coming soon A copilot waits to be asked; an agent decides what needs doing. Crossing that line reshaped how we thought about governance at scale.

Part 6 · The Future of Agentic Data Governance — coming soon Where agentic data governance heads next — and the near-term shifts that will separate the organizations governing their AI from the ones governed by it.