AUTOMATE FINANCIAL SPREADING

Free credit teams from
financial data preparation

Automate the repetitive work of extracting, organizing, and spreading financial data so analysts can spend more time on credit analysis.

Make financial spreading faster and more consistent

01

Reduce manual entry

Extract financial data from borrower documents instead of rekeying it line by line.

02

Create consistent spreads

Standardize financial information so analysts start from the same structure across deals.

03

Validate data faster

Review missing or inconsistent information before moving the spread into credit analysis.

04

Give analysts time back

Spend less time preparing data and more time reviewing risk and opportunities.

The problem starts before analysis begins

Borrower financials rarely arrive ready for credit review. They still need to be reviewed, organized, categorized, and validated before an analyst can trust the numbers. When that preparation is manual, every new deal creates more repetitive work. As volume grows, so does the time spent preparing data instead of using it.

Manual workflow

01

Documents arrive

02

Manual extraction

03

Rekeying

04

Categorization

05

Validation

06

Credit analysis

 

More steps before the analyst can review the deal. Time goes to preparing the numbers instead of using them.

With FlashSpread

01

Documents arrive

Tax returns, financials, PDFs

02

FlashSpread automates the prep work​

Extract, standardize, and spread

03

Credit-ready financials

Clean, consistent starting point

04

Credit analysis

Analysts review the deal


The workflow starts with clean financial data, so review can begin sooner.

From document upload to structured spread

FlashSpread uses AI-assisted OCR and extraction technology to capture financial data from borrower documents and organize
it into standardized spreads for commercial credit review.

01 Upload financial documents

Work with tax returns, financial statements, PDFs, and other supported borrower documents.

02 Extract and structure the data

Organize extracted information into standardized statements, cash flow, ratios, and reporting outputs.

03 Review and use the results

Use clean, structured data for review, reporting, and downstream credit workflows.

Automation changes more than spreading time

When financial data is structured earlier, credit teams can move faster, stay consistent, and spend more time on higher-value work.

Increase lending capacity

Process more financial packages without making repetitive data preparation grow at the same rate.

Improve consistency

Start credit analysis with borrower financials organized into a standardized structure across deals and analysts.

Support better credit work

Free analysts to focus on interpreting financial performance, reviewing trends, and applying credit judgment.