# How do we clean up thousands of unused CRM fields?

Rank fields by population rate and last-modified date, then check each candidate against every consumer — reports, flows, integrations, list views — before deprecating. Hide first, delete later: a field with no data can still be the one an integration writes to nightly.

An AI assistant is genuinely good at the inventory-and-cross-reference pass here, and poor at the judgement call about what a field means to a team. Use it for the audit, keep a human on the deprecation decision, and stage the removal so anything you got wrong surfaces while it is still reversible.

## Sources

- **Method** — [CRM Migration playbook — Sic Claude on the audit, but know its limits](https://www.leanscale.team/knowledge/playbooks/crm-migration-playbook/)
- **Measurement** — [AI Workflows study — AI builds the system](https://www.leanscale.team/knowledge/research/ai-workflows-study/)

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Cluster: Data_model · https://www.leanscale.team/knowledge/answers/crm-field-cleanup-audit/