Nace.AI

Solutions · Banking

End-to-end SME loan automation.

From application package to credit decision without manual data entry. Nace ingests borrower financials, bank statements and tax returns in any format, spreads them automatically, and produces a data-backed credit memo where every number traces to its source page.

0years of historicals modeled instantly
0 GBof application documents per file
0%extraction accuracy on spreadsheets
0manual data entry

Why now

The end of manual spreading.

Credit analysts spend countless hours wrestling with messy borrower files while transaction volumes outgrow what manual review can handle. Drop in the raw financial data and let the agent instantly map, structure and compute the outputs your credit policy requires — with real-time validation across the whole portfolio.

Capabilities

What the agent does for your team.

Automated financial spreading

Financial statements, bank statements and tax returns become schema-clean data with cell-level grounding — no re-keying.

  • Dense-table extraction across formats and scan quality
  • Cross-document entity resolution per borrower
  • Spreadsheet-native ingestion, not screenshots

Instant, data-backed modeling

Generate robust financial models from five years of historical data with absolutely zero manual entry — boardroom-ready in minutes.

  • Cash-flow and ratio analysis per credit policy
  • Financial Health Report per applicant
  • Consistent treatment across every application

Completeness and consistency checks

The agent verifies the application package is complete and internally consistent before it ever reaches an analyst.

  • Missing-document detection at intake
  • Cross-checks between statements, returns and declarations
  • Rapid review of up to 1 GB of documentation per file

Explainable credit decisions

Trace every number. Click any figure in the credit memo to see the exact source document and reasoning chain — full auditability for regulators and credit committees.

  • Click-through provenance on every field
  • Zero black boxes, total auditability
  • Human-in-the-loop approval before decisioning

How it works

From raw files to a finished result.

  1. 01

    Intake the application

    Borrower uploads land directly in the pipeline; documents are categorized and checked for completeness.

  2. 02

    Spread and structure

    Financials are extracted and spread into your template with grounding on every cell.

  3. 03

    Model and score

    The agent computes ratios, cash flow and policy checks, producing a standardized credit memo.

  4. 04

    Decide with confidence

    Analysts review a complete, traceable file and route it to approval — in hours, not weeks.

Under the hood

Built on the Nace stack.

Approve SME loans in hours, not weeks.

Automated spreading, instant modeling, and a credit file your committee can trace line by line.