Modernising credit risk management

10× faster.
12× better credit decisions.

12 Risks eliminates the manual, Excel-based steps of credit analysis with the latest advances in ML and AI — financial statements extracted in minutes, KPIs computed, the memo drafted against your own scoring model. The hours you save go to the only part that matters: the decision.

NO PDF→EXCEL RETYPING · ZERO BLACK BOX · YOUR MODEL, YOUR BANDS

01 Upload
02 Extract
03 Score
04 Credit Risk Memo
annual-report-2025.pdf

Drop the financial statements — any layout, any scan quality.

faster credit risk decision cycle

0:00

median run, source PDF to typed figures

48

figures retyped into Excel

0%

of memo figures traceable to the source PDF

One pipeline. Four steps.

Drop the financial statements. Validate the credit memo.

Everything in between is 12 Risks — and the walkthrough above isn't a mock-up, it's the workspace. Each step deletes a manual Excel or Word chore and keeps the decision human.

01 Upload

PDF-to-Excel, deleted.

Drop the financial statements exactly as they arrive — scanned annual report, balance sheet, P&L. That drag-and-drop replaces the whole extract-into-a-spreadsheet step.

0 CELLS RETYPED

02 Extract

Figures with receipts.

The latest AI and ML extraction models lift every figure and compute your KPIs in minutes — and each value stays linked to the exact line of the source PDF, highlighted for inspection.

EVIDENCE ON EVERY NUMBER

03 Score

Your model applies itself.

KPIs run straight through the weights, thresholds, and rating bands your credit committee set in Settings. The AI never scores by its own opinion.

ZERO BLACK BOX

04 Memo

Analysis that arrives written.

The most capable AI models draft the credit memo pillar by pillar, arguing inside your model. No more analysis hand-written in Word — your team's time moves to the only part that needs an analyst: judgment.

YOU VALIDATE. IT WRITES.

Zero black box

AI does the work. The model stays yours to read.

ML extracts and AI writes — but no score appears without a reason you can point to. The scoring model is an explicit, versioned document: weights, thresholds, and rating bands your credit committee owns and edits in Settings — not a data-science backlog. And every figure in the memo traces back to the line of the source PDF it came from.

The scoring model — as your analysts see it

Readable, line by line.

v4 · approved 12 May 2026
Of section Of total
Profitability 40%
Net profit margin 50% 20%
Operating margin 50% 20%
Debt 35%
Net debt / EBITDA · ceiling 3.0× 50% 17.5%
Equity ratio · floor 25% 50% 17.5%
Cash Flow 25%
CFO / Debt 50% 12.5%
FCF margin 50% 12.5%
A ≥ 80B 65–79C 50–64D 35–49E < 35

EVERY PARAMETER EDITABLE IN SETTINGS · VERSIONED · NOTHING HIDDEN

The audit trail — for your regulator and your CRO

Every number has a receipt.

CLICK ANY FIGURE IN THE MEMO · LAND ON THE LINE IN THE PDF

Stop extracting PDFs into Excel.
Start validating decisions.

Most credit teams still lift financial statements out of PDFs into Excel by hand, then write the analysis in Word. If Excel is part of your credit analysis workflow today, reach out — we'll show you, on your own statements, how the decision cycle gets ten times faster.

10× FASTER DECISION CYCLE · SET-UP IN A DAY · YOUR MODEL, IMPORTED AS-IS