Auxx.ai
Custom Entities

Importing records

Import records from CSV files using the 4-step import wizard — upload, map columns, review values, and execute.

Auxx.ai's import wizard lets you bulk-create records from CSV files. The process walks you through four steps: upload your file, map columns to fields, review resolved values, and execute the import.

Start an import

  1. Open any custom entity's records page
  2. Click Import in the top-right
  3. The import wizard opens

Step 1: Upload CSV

Upload a CSV file by dragging it onto the upload area or clicking to browse. The file must be a valid CSV with headers in the first row.

File size limits:

SizeBehavior
Under 2 MBUploaded in a single request
2–20 MBUploaded in chunks automatically
Over 20 MBRejected — split your file into smaller parts

Step 2: Map columns

Match each CSV column to a field on the entity. The wizard shows sample values from your file to help you identify the right mapping.

For each column, choose one of:

  • Entity field — map to a specific custom field
  • System field — map to a built-in field (for system entities)
  • Skip — ignore this column

Relationship columns are mapped by matching the display name of the related record. For example, a "Category" column maps to a relationship field and Auxx.ai looks up categories by name.

Step 3: Review values

The wizard validates and resolves all values before importing. For each row, you'll see:

  • Valid — value parsed and ready to import
  • Warning — value resolved but may need review
  • Error — value could not be resolved (e.g., no matching related record found)
  • Create — a new related record will be created

You can override individual values or fix errors before proceeding. Date and number values are automatically parsed from common formats.

Step 4: Execute

Review the import summary showing how many records will be created, updated, or skipped. Click Execute to run the import.

After completion, you'll see results:

StatDescription
CreatedNew records added
UpdatedExisting records modified
SkippedRows skipped (duplicates or rules)
FailedRows that encountered errors

Failed rows include per-row error details so you can fix and re-import them.

Import history

View past imports and their statuses from Account & Security > Import History. Each import shows the file name, entity, date, and outcome counts.

Next steps