Can I add or change extraction fields after a document workflow is live?

Direct answer

For teams asking “Can I add or change extraction fields after a document workflow is live?”, the strongest answer is a repeatable workflow with defined fields, review, validation, and downstream handoff. The goal is to turn PDFs, forms, spreadsheets, and recurring business documents into structured data the business can trust.

For “Can I add or change extraction fields after a document workflow is live?”, define the exact fields, rows, review rules, and destination before scaling automation across a larger document batch.

What the workflow should include

For teams trying to add or change extraction fields after a document workflow is live, a production-ready answer should capture required fields, table rows, document type, review status, validation results, and export columns while preserving a consistent schema from one document to the next.

For “Can I add or change extraction fields after a document workflow is live?”, pay special attention to missing fields, changing layouts, low-confidence values, duplicate records, and unclear downstream handoffs; those edge cases usually determine whether the output is usable downstream.

How Lido helps

For teams trying to add or change extraction fields after a document workflow is live, Lido combines AI document extraction with spreadsheet-style review, validation, and automation for finance, operations, and back-office teams.

That lets teams answer “Can I add or change extraction fields after a document workflow is live?” with a reusable process that can be tested, corrected, and connected to spreadsheets, CSV files, ERPs, CRMs, or other workflow systems.

Example workflow

1. Document the current fields, columns, and downstream dependencies.
2. Add or revise the extraction fields in a controlled test set.
3. Compare new outputs against previously approved examples.
4. Roll the updated workflow into production and monitor exceptions.