01 - Clean
Normalize messy source data before import.
Trim fields, standardize values, convert formats, and remove avoidable cleanup work from the final launch window.
Import-ready data
Import-ready data before the go-live window closes.
Aformity turns customer files into reviewed, validated, destination-ready datasets so implementation teams can launch with fewer failed imports and cleanup loops.
Workflow
How Aformity turns messy files into a repeatable launch motion.
02 - Review
Give customers a safe space to fix records.
Let customers and internal teams review flagged records without touching production systems or rewriting the import plan.
03 - Export
Publish the dataset your destination system expects.
Export clean files that match the required schema, validation rules, and loading sequence for the target platform.
Direct answer
What makes customer data import-ready?
Customer data is import-ready when it matches the destination schema, required fields are complete, values use accepted formats, duplicates and relationship errors have been resolved, and the export can be loaded without creating avoidable cleanup work after launch.
Before / after
Replace fragile import prep with an auditable workflow.
Readiness
Teams call a file ready because it opens in a spreadsheet.
Readiness is measured against the destination schema and importer rules.
Review
Customer fixes happen in long email loops and shared files.
Customers fix flagged records in a guided migration space.
Export
Final files still need reshaping before import.
Exports are already structured for the destination workflow.
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