Corporate Bank: Credit Applications Reviewed in a Fraction of the Time

A mid-sized commercial bank focused on corporate clients processes 180 loan applications per month in the €500,000–€10M range. Each application arrives with a document stack: financial statements, management accounts, business plan, collateral register, commercial registry extract, tax assessments. A credit analyst spent an average of 6.5 hours assembling the risk picture and writing the credit proposal.

Why External AI Services Were Ruled Out

Corporate financial data is the most sensitive information a bank holds. Banking secrecy law, GDPR, and data residency requirements prohibit passing it to third parties — including AI providers — without explicit client consent. The bank wanted AI benefits without compromising these obligations.

Local Credit Analysis with SoverIQ

SoverIQ Stack runs within the secured banking network. Submitted credit documents are automatically processed:

• Extract financial ratios (equity ratio, EBITDA margin, interest coverage, liquidity ratios) from financial statements
• Three-year trend analysis: where are key metrics improving, where are they deteriorating?
• Flag deviations from industry benchmarks
• Structure collateral register and calculate loan-to-value ratios
• Generate credit proposal draft according to the bank’s internal template

The credit analyst validates, applies expertise, and makes the final decision — the AI handles the time-consuming assembly and preparation.

Results

Processing time per application fell from 6.5 to 2.1 hours. The bank can now handle 3× as many applications with the same analyst team — without quality loss. Credit decisions are reached 4 days faster on average: a competitive advantage for corporate clients who value rapid capital availability.