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Course Outline
AI Foundations for Financial Professionals
- Understanding AI and machine learning within the financial sector
- Overview of AI model types: classification, regression, and generative models
- Responsible AI: ensuring accuracy, transparency, and ethical application in reporting
Automating Financial Data Processing
- Utilizing AI tools for data ingestion and extraction from PDFs and spreadsheets
- Data cleaning and transformation for analytical purposes
- Applying OCR, NLP, and LLMs to interpret unstructured financial text
AI-Driven Financial Statement Analysis
- Automated ratio analysis and benchmarking techniques
- Identifying trends and analyzing variances using machine learning
- Visualizing key insights through AI-powered dashboards
Generative AI for Narrative Reporting
- Drafting executive summaries and variance commentary with the aid of LLMs
- Developing management discussion & analysis (MD&A) sections with AI support
- Prompt engineering for effective financial storytelling and controlling output accuracy
Scenario Planning and Forecasting with AI
- Introduction to scenario modeling and simulation using ML
- Constructing dynamic models for forecasting revenue, expenses, and cash flow
- Conducting stress tests on financials based on macroeconomic assumptions
Integrating AI into Existing FP&A Workflows
- Enhancing spreadsheet workflows using Python or AI plugins
- Implementing collaborative tools and automation for monthly or quarterly close processes
- Embedding AI capabilities into Excel, Power BI, or cloud-based FP&A platforms
Audit, Governance, and Internal Controls
- Ensuring AI explainability and readiness for internal audits
- Documenting assumptions and AI outputs to maintain compliance
- Establishing controls for AI-assisted processes within financial reporting
Summary and Next Steps
Requirements
- Working knowledge of essential financial statements and key performance metrics
- Practical experience with spreadsheets or fundamental data management tools
- Basic familiarity with Python or an openness to utilizing AI-enhanced interfaces
Target Audience
- Corporate finance analysts
- FP&A teams
- Controllers
14 Hours
Testimonials (1)
The background / theory of LLMs, the exercise
