Yes. Lido can help extract debtor, entity, affordability, asset, liability, creditor, and proposal fields from insolvency documents into a reviewable schema before sending approved data downstream.
Use an AI extraction workflow that turns debtor details, assets, liabilities, creditor rows, payment amounts, and affordability fields into a normalized table with review flags.
Yes. Extracted data can be reviewed, normalized, and exported through CSV, spreadsheet handoff, API, or another import-ready format for a case management system.
Automate debt servicing documents by combining multi-channel intake, classification, field extraction, exception review, and export into the case or servicing platform.
Yes, if the workflow separates shared fields from document-specific fields and routes personal and corporate insolvency documents through the right extraction and review rules.
Map each extracted insolvency field to the downstream database or system job, validate required values, and preserve case identifiers so approved data loads cleanly.