Financial Analysis with Artificial Intelligence: Tools and Practical Application

Knowledge and skills development in:

• objectively assessing a company’s financial position based on available data;
• identifying “weak spots” and growth opportunities;
• using AI tools for analysis, task planning, monitoring, and decision-making.

• Business owners.
• Managers.
• Accountants.
• Analysts.

• Analyze financial statements.
• Create budgets.
• Forecast cash flows.
• Calculate KPIs.
• Develop financial strategies.
• Analyze their company’s financial data and make informed decisions using AI tools.
• Create a practical AI financial assistant tailored to the needs and objectives of their business.

There are no specific prerequisites.

Training materials and practical work examples prepared by BDA.

Not intended.

Module 1. Assessing the Company’s Current Financial Position with the Help of AI

• Key indicators that determine a company’s financial “health”: liquidity, profitability, and financial stability.
• Rapid financial health assessment based on management reports.
• Preparing data for AI analysis: Excel file structure.
• Using ChatGPT to calculate key financial ratios and analyze financial statements.
• Using Claude.ai or ChatDOC to analyze PDF documents and tables.
• Interpreting AI analysis results: what the identified problems mean.
• What AI “doesn’t see”: how to verify the results.
• Formulating tasks and prompts correctly to obtain accurate data.

Practical task: Uploading and analyzing a financial statement using AI.

Module 2. Data-Driven Financial Planning: From Intuition to Informed Decisions

• Data required for high-quality financial planning.
• Systematizing and structuring financial information using AI.
• Using AI to identify trends, patterns, and anomalies in data.
• Using ChatGPT, Excel AI, and Power BI to analyze large datasets and automate conclusions.
• Creating financial scenarios based on historical data and forecasts.
• Interpreting AI analysis results and making decisions.
• Sustainable planning: how to account for risks, uncertainty, and changing factors.

Practical task: Analyzing a dataset and developing an initial financial plan.

Module 3. Budget Planning and Expense Forecasting with the Help of AI

• Objectives of budget development: why a company needs a budget and how to use it.
• Types of budgets: operating, investment, departmental, and project-based.
• Developing a budget structure aligned with the company’s objectives.
• Approaches to expense planning: from “desired” to “justified.”
• Using AI for budget development: analyzing historical data and identifying patterns.
• AI as an assistant in reducing inefficient costs.
• Using ChatGPT and Excel AI for calculations, classification, and budget validation.
• Creating budget scenarios: realistic, pessimistic, and optimistic.
• Testing budget resilience and establishing a safety buffer.

Practical task: Participants develop a simple budget using artificial intelligence tools.

Module 4. Evaluating Investment Returns: How to Do It Quickly and Accurately Using Artificial Intelligence

• Methods for evaluating investment efficiency: ROI, NPV, IRR, and Payback Period.
• Using AI to collect, structure, and analyze financial data and investments.
• Forecasting cash flows and revenues using neural networks.
• AI-assisted risk and sensitivity analysis of investment projects.
• Automating calculations in Excel and Google Sheets using ChatGPT and other AI tools.
• Building an investment model with AI support: from the initial idea to the final indicators.
• Comparing multiple investment projects using AI algorithms.
• Creating investment presentations and reports with AI (text + visualization).
• Errors and biases in investment analysis: how AI can help identify them.

Practical task: Using AI to evaluate a real or sample investment project.