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Operations · Intermediate

# Underwriting document intake and fraud screening

Extract financial figures from messy applicant documents and spot inconsistencies

[Use with BotBento ](https://app.botbento.com/?ref=usecases&utm_source=botbento.com&utm_medium=usecases&utm_campaign=underwriting-document-intake-and-fraud-screening)Copy promptShare[Markdown](/text/usecases/underwriting-document-intake-and-fraud-screening/index.md)

Opens BotBento. Paste the prompt into a bot; nothing is preconfigured.

- When something happensNew applicant files uploaded
- ThenVerify income and document validity
- ResultStructured summary and outreach draft

Ingest unstructured loan applicant submissions like bank statements, payslips, and screenshots. Parse irregular formats, check for conflicting figures across files, compile financial metrics into records, and prepare applicant follow-up requests when pages or verifications are missing.

## Prompt to start with

BotBentoRecommended

```
When a new loan application package arrives, parse all submitted PDF statements and image receipts. Verify income and transaction totals against application forms, flagging discrepancies or suspected document tampering. Log the extracted metrics into the database. If files are missing or incomplete, draft a clarification email to the applicant and request approval before sending.
```

Copy

## Tools it uses

PDF filesEmailDatabaseSpreadsheet

## Works with

BotBento

## Tags

- underwriting
- lending
- ocr
- documents
- fraud-detection

## Source

[Launch HN: Kita (YC W26) – Automate credit review in emerging markets](https://news.ycombinator.com/item?id=47417335)
Hacker News · checked 2026-10-15

Summarized in our own words. Any results described there are the authors’ own, not measured by BotBento.

By BotBento Editorial · Added 2026-10-15 · Updated 2026-10-15 · [Suggest a correction](/contact/)

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