Start with a defined trigger
A data owner selects an approved record set for review.
CRM records-to-cleanup proposals
This is a proposed workflow pattern. We confirm data access, permissions, integration options and review ownership with your team before implementation.
Confirm field ownership and downstream automation effects. Avoid overwriting a recent authoritative update with older evidence.
A data owner selects an approved record set for review.
Collect permitted record fields, identity rules, source provenance and the organization's merge or correction policy.
Identify possible duplicates and inconsistencies with supporting evidence, keeping uncertain matches separate.
A data steward confirms identity and authorizes corrections or merges. Customer history must not be discarded based on similarity alone.
Apply approved changes through the CRM's normal controls and retain a record of the decision.
Measure false duplicate matches, corrected fields, review time and downstream issues avoided.
Keep the input, relevant context, review decision and final result connected. When a reviewer corrects something, use that evidence to improve the instructions or integration, then validate the change against representative cases.
The workflow stays centered on your business. The engagement determines who learns, implements and operates it.
Start with AI workflow training and the Factory Line source package. Workshop support is available when you need feedback.
Explore the $2,500 package ↗Get everything in DIY, three months of workshops, weekly team sessions and direct implementation coaching.
Explore guided implementation ↗Include all the learning and guidance, with ownership of agreed operations and major implementation decisions.
Explore managed delivery ↗Bring a process, a bottleneck, or an idea. We'll help you decide what to automate, what to keep under human review, and where to begin.