Use Case · Versicherung & Finance
Promissory Note
Extraction
Promissory note loan documents as PDFs automatically read: interest rates, amortisation structures, maturities, terms and covenants extracted, validated and transferred to core banking and treasury systems. No manual data entry.
Why Promissory Note Processing Is a Lever
60 pages of PDF. 40 data points. All typed in manually.
Promissory note loans are a core product in the European private placement market.
But the processing is stuck in the past: a typical promissory note arrives as a PDF with 40-80 pages. Hidden within: interest rates (fixed, floating, step-up), amortisation schedules, maturities, terms, covenants, call rights, collateral.
A back-office member opens the PDF, reads through the legal language, identifies the relevant data points and types them into the core banking system and the treasury system. Per promissory note: 45-90 minutes. At 30-60 new promissory notes per quarter: 22-90 hours of pure data entry.
The risk is twofold: typing errors on interest rates or amortisation schedules lead to incorrect cash flows and wrong valuations. And overlooked covenants or call rights can have legal and financial consequences. An error in the third decimal place of an interest rate compounds over the term into five-figure sums.
How the Process Changes
Before / After
per promissory note loan (incl. review)
The Solution in Detail
How We Automate Promissory Note Processing
01
Intelligent Document Recognition
The AI agent automatically identifies the document type: promissory note loan, amendment, termination, terms change. The document is structurally analysed: text sections, tables, annexes, signature pages. Legal language is interpreted contextually.
ABBYY Document Intelligence + Azure AI. Recognition of tables, enumerations, cross-references. Processing of scanned and native PDFs. Multilingual (DE/EN).
02
Data Extraction & Structuring
All relevant data points are extracted and structured from the document: nominal value, interest rates (fixed/floating/step-up), interest calculation method, amortisation schedule, maturity, final payment date, covenants, call rights, collateral, reference rate.
03
Validation & Plausibility Checks
Extracted data is automatically validated: interest rates against market data, amortisation schedules for arithmetical correctness, duplicate detection against existing holdings. Deviations and anomalies are flagged and presented to the processor.
Plausibility check against current market rates. Amortisation schedule recalculation for verification. Matching against already captured promissory notes (issuer, volume, maturity). Confidence score per data field.
04
System Integration & Archiving
Validated data is automatically transferred to core banking and treasury systems. Cash flows generated, amortisation schedule created, dates (interest payment dates, maturities, covenant review dates) entered in the deadline calendar. Document archived audit-proof.
RPA for legacy systems, APIs where available. Automatic cash flow generation. Deadline calendar integration. DMS archiving linked to the business transaction. Complete audit trail.
Results
What Promissory Note Automation Typically Delivers
70%
effort
0
errors
5 Min
per promissory note
100%
Tracking
The greatest lever is not time saved but error reduction. A typing error in the third decimal place of an interest rate compounds over a 10-year term into five-figure sums.
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Ready?
How many promissory notes does your back office process manually per quarter?
Let us show you in 30 minutes how automatic extraction and validation can free your team from data entry, without risking accuracy.
No sales pitch. Just an honest assessment.
120+ Clients. 100% Satisfaction. 7 months to Profitability.
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