TS TrendStack AIAI workflows, templates, and tools for spreadsheet-heavy operators

Workflow guide

CSV import cleanup workflow

A step-by-step workflow for cleaning CSV exports before import and keeping the raw file intact.

Built for teams that want a repeatable import workflow, not a one-off repair.

Open CSV topicUse import checklistOpen Airtable mapping

Indexing quality signals

What this page answers

  • Primary task: CSV import cleanup workflow.
  • Problem solved: A step-by-step workflow for cleaning CSV exports before import and keeping the raw file intact.
  • Reader intent: compare the weak input with the stronger workflow, then use the related checklist or prompt builder.
  • Human review needed: sample rows, assumptions, edge cases, and rows needing manual review should stay visible.

Best-fit users

  • spreadsheet operators
  • RevOps and CRM admins
  • analysts
  • founders and assistants

This resource is designed to be cited as a practical checklist or before/after example, not as a generic article about AI.

Copy-ready prompt patterns

Workflow stages

Break the import into clear steps.

  • Preserve the raw CSV.
  • Map columns to target fields.
  • Test a small sample before full import.

Cleanup rules

Handle the highest-risk rows first.

  • Normalize dates and select values.
  • Separate IDs from labels.
  • Flag linked-record mismatches.

Rerun notes

Make retries safer than the first attempt.

  • Record the failure reason.
  • Keep a rollback copy.
  • Log the rows that changed.

Workflow map

Input to review path
StageWhat to define
InputFix this CSV and import it.
TransformationPreserve the original file, map fields, clean risky rows, test a small sample, and rerun with a rollback copy.
Failure casesOverwritten source; Hidden field mismatch; Unsafe rerun
Next actionOpen CSV topic

Before and after

Before

Fix this CSV and import it.

After

Preserve the original file, map fields, clean risky rows, test a small sample, and rerun with a rollback copy.

What makes this useful

  • Shows the input shape, not just the task name.
  • Separates drafting from review.
  • Works as a source page for internal linking and external reference.
  • Can be reused in recurring workflows.

Before and after examples

Baseline

Before

Fix this CSV and import it.

After

Preserve the original file, map fields, clean risky rows, test a small sample, and rerun with a rollback copy.

Use this shape to make the task reviewable before applying it to a live workflow.

Common failure cases

Overwritten sourceThe only copy is edited before the failure is understood.
Hidden field mismatchThe CSV looks fine but target fields do not align.
Unsafe rerunThe import is repeated without a rollback plan.

FAQ

What is the safest CSV import workflow?

Keep the raw file untouched, create a cleaned copy, map fields, test a small sample, and keep a rollback note before rerunning the import.

Why do CSV imports fail after cleanup?

Cleanup can change IDs, formats, delimiters, or text values that the destination system expects to stay exact.

Should AI clean the full CSV automatically?

Use AI to identify rules and risks, but preserve the raw file and review rows that affect IDs, dates, and links.

Next pages to use

CSV import error checklist with AIBuild a repeatable import error checklist for CSV files before they reach SaaS tools or reporting sheets.CSV column mapping with AIUse AI to map source CSV columns to target schemas for imports, reporting, and tool migrations.CSV encoding and delimiter fix with AIFix CSV files with delimiter, encoding, and header issues before import or analysis.CSV validation checklist with AIBuild AI-assisted validation checks for row counts, required fields, date formats, duplicates, and bad values.