CRM cleanup before and after examples checklist

Checklist

Raw source material is preserved before AI edits begin.The desired output format is written explicitly.Edge cases, missing values, and exceptions are listed.The first output is reviewed against real examples.The final prompt is stored for reuse.Sensitive or policy-heavy cases get manual review.Paste raw values and desired standardized values.Ask for a mapping table and exception rules.Review rows that cannot be mapped confidently.Use the mapping as the future cleanup reference.

Mistakes to avoid

guessing ambiguous lead sources

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

renaming stages without sales approval

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

dropping original IDs

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

not saving the mapping table

Make the prompt more specific, keep the source data visible, and review the output before using it in a live workflow.

Related workflow pages

Use the CRM cleanup before and after examples prompt builderUse before-and-after examples to normalize CRM lead sources, owners, stages, and import fields.Copy CRM cleanup before and after examples prompt templatesUse before-and-after examples to normalize CRM lead sources, owners, stages, and import fields.Compare AI tools for CRM cleanup before and after examplesUse before-and-after examples to normalize CRM lead sources, owners, stages, and import fields.Follow the CRM cleanup before and after examples workflowUse before-and-after examples to normalize CRM lead sources, owners, stages, and import fields.CRM cleanup before and after examplesUse before-and-after examples to normalize CRM lead sources, owners, stages, and import fields.Use the CSV cleaning before and after examples with AI prompt builderUse before-and-after examples to clean CSV exports, normalize fields, and explain transformation rules.