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The fix for CRM data debt starts with one person owning the architecture of the revenue stack. But most companies get the choice wrong — not by picking the wrong person, but by giving the right person the title without the one thing that makes the role work. Three filters for choosing the owner, and the mistake that makes the whole thing decorative.

Everyone is adding AI to their CRM. Almost nobody has the data model to support it. The story of a rollout that died in three weeks, why that failure was the system working exactly as designed, and why the boring work has quietly become the highest-ROI AI investment most companies can make.

Marketing ops owns campaigns. Sales ops owns pipeline. IT owns infrastructure. But the layer connecting all of it — the data model, the integrations, the source of truth — belongs to nobody in most mid-market companies. This is not a competence problem. It is an org-design problem, and it is getting more expensive every year.

Technical debt gets all the attention. But the quieter killer in revenue organizations is CRM data debt — and it follows the same four-stage spiral almost every time. Here is how it works, why every stage feels rational, and how to break it without a re-platform.