Analysing financial documentation
Analyse annual accounts, management reports, forecasts and contracts. Identify relevant financial data and support insights with source references.
AI for financial due diligence
Automating financial analysis with AI
Many investment funds use AI to analyse financial documentation. But the results often remain isolated analyses and are not systematically incorporated into models or reports. The analysis is automated. The processing is not yet. AI in financial due diligence makes it possible to collect and analyse financial data faster, so investment teams can focus on what really matters: interpretation, risk analysis and valuation. We help private equity firms and investment funds turn financial document analysis into structured data that can be processed directly, using AI solutions that work with existing models and systems, with attention to accuracy, traceability and control.
AI document analysis in financial due diligence: from standalone analysis to structured financial data
AI makes it possible to analyse financial documentation quickly. The challenge, however, is to process this information consistently and reliably in financial models and reports. Combining analysis and structuring creates a scalable and reproducible process for financial due diligence.
AI applications for financial due diligence
Automating financial data extraction
Extract standardised financial metrics, such as revenue, EBITDA and cost structures, from different documents.
Structuring financial data
Turn financial information into structured datasets that are ready to use in models and analyses.
Integration with financial models and systems
Feed the results directly into Excel models, BI tools or internal databases.
“I’m very pleased with the collaboration. The close communication and detailed sprint reviews ensured the model met our needs exactly, resulting in a successful launch for our customers.”
The value of AI in financial due diligence
01
Less time spent on manual data extraction
02
Consistent and reproducible financial analyses
03
Full traceability of figures back to source data
04
Faster processing of large volumes of documents
05
Data ready to use for valuation and decision-making
Frequently asked questions,
Brief answers to the most common questions about using AI for financial due diligence.
No. Data is processed in a secure environment and is not used to train external models.
The data is backed by references to its sources and can be validated, so it remains possible to check and audit it.
Yes. The output can be integrated with existing Excel models, BI tools and other systems.
Yes. These include PDF’s, spreadsheets, reports and contracts.
Yes. The solution supports the process while leaving room for analysts to review and validate the results.
Financial documents such as annual accounts, management reports, forecasts and contracts.
Use AI for financial due diligence in your investment process?
Curious how this works in your financial due diligence? We’ll get in touch with you straight away.
