Every Salesforce org has a junk drawer. Fields nobody standardized, picklist values nobody consolidated, validation rules nobody documented. Humans worked around the mess. Agents will not. Here is what to fix first.

The admin before me had a philosophy: "Let users enter data however they want, we'll clean it up later." Later never came. Stop cleaning up data and start preventing it at the source.

Before I was a Salesforce architect, I was a journalist. The AP Stylebook prepared me for data quality work more than any certification. Apply editorial standards to your database.

I traced a single record update that triggered 14 automations across 6 objects. The record saved correctly. It also created 3 duplicate tasks, sent 2 emails to the same person, and updated a field that a different Flow immediately overwrote. This guide includes a Flow audit checklist.

"How do we know the AI won't leak customer data?" The CISO asked this 15 minutes into our Agentforce planning session. Here's what the Trust Layer actually does and how to configure it.

Every organization has the same story: "We'll clean up the data later." Later never comes. Data governance isn't a project. It's a framework that maintains quality continuously.

The report said 12,000 donors. The actual number was 8,500. Three years of duplicate accumulation. Here's how to find, merge, and prevent duplicate records before they wreck your data.

Nonprofit data has unique requirements: donor records, gift processing, constituent relationships. These validation rules prevent the data entry errors that break fundraising operations.

End the year strong with this Salesforce Data Governance Checklist for nonprofits clean data, secure systems, and accurate reports