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Video Summary on AI for Statement Analysis:
Introduction
Pedro Müller, financial manager at Pareto, presents a use case of AI for financial statement analysis.
Tool
- AI agent specialized in financial statement analysis.
- Analyzes PDFs of financial reports.
Practical Example
- Utilization of public data from Renner (Q3 2024).
- Focus on consolidated financial statements (balance sheet, income statement).
Analysis with different AI models
a) Tess AI v3
- Addressed liquidity, working capital, capital structure, profitability, growth, and cash generation.
- Provided points of attention and conclusion.
b) Gemini 1.5 Pro (Google)
- Overview, liquidity, working capital, debt, profitability.
- Some limitations in margin calculations.
c) GPT-4O (OpenAI)
- Detailed analysis of the balance sheet.
- Liquidity ratios, capital structure, margins, and ROI.
d) Claude 3.5 Sonet (Anthropic)
- Revenue, profit, balance analysis, financial ratios, and cash flow.
Recommendations
- Check the accuracy of numbers calculated by AI.
- Prefer answers that show calculations to facilitate verification.
- Value analyses that provide conclusions and insights, not just numbers.
- Possibility to expand the analysis with sector comparisons or additional information from the internet.
Conclusion
- AI offers a quick initial analysis but requires human verification.
- Different AI models can provide varied perspectives.
- The tool is useful for gaining initial insights and directing deeper analyses.
- This AI approach can significantly accelerate the financial analysis process, providing a solid starting point for more detailed analyses.
Link to the template
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