AI use cases/Finance/Automated financial statement analysis
Finance

Automated financial statement analysis

-60% analysis time

Analysing balance sheets, income statements and notes to extract key indicators and spot anomalies remains largely manual. Controllers spend their time collecting and calculating, at the expense of the interpretation and recommendations that give their work its value.

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The automated workflow

A structured process for fast, reliable results.

01

Document import

Financial statements (balance sheets, P&L, notes, tax returns) are loaded into the analysis platform.

02

Data extraction

All accounting lines, ratios and key indicators are identified and extracted automatically.

03

Analysis and comparison

Financial ratios are calculated automatically, with year-on-year comparison, sector benchmarking and anomaly detection.

04

Analysis report

A structured analysis note covering the key points, alerts and recommendations.

Tangible results

-60%
Financial analysis time
20+
Ratios calculated automatically
3 years
Compared in every analysis

Up and running in 4 to 5 weeks

From specification to deployment, with visible results from the first few weeks.

Rapid scoping (1 week)
Working prototype at the halfway point
Deployment and training included

Frequently asked questions: Automated financial statement analysis

Balance sheets, income statements, notes, tax returns, interim statements and consolidated accounts, in PDF and Excel formats.

Yes, on top of standard ratios (liquidity, solvency, profitability), you define your own indicators and alert thresholds.

Yes, the tool includes sector benchmarks to position the company's performance against its market.

Yes, every analysis is traced and documented. It provides a solid working basis for internal and external auditors alike.

Ready to automate this workflow?

A free first call to assess the feasibility and ROI of this use case in your context.

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