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Course Outline
AI Fundamentals for Finance Professionals
- Defining AI and machine learning within the financial sector
- Overview of AI model types: classification, regression, and generative models
- Responsible AI practices: focusing on accuracy, transparency, and ethics in reporting
Automation of Financial Data Workflows
- Employing AI tools for ingesting and extracting data from PDFs and spreadsheets
- Preparing and transforming data for deeper analysis
- Utilizing OCR, NLP, and LLMs to decode unstructured financial text
AI-Enabled Financial Statement Examination
- Streamlining ratio analysis and industry benchmarking
- Identifying trends and analyzing variances via machine learning
- Presenting insights through AI-driven dashboards
Generative AI for Narrative Documentation
- Drafting executive summaries and variance notes using LLMs
- Developing Management Discussion & Analysis (MD&A) sections with AI assistance
- Refining prompts for financial storytelling and ensuring output accuracy
AI-Powered Scenario Planning and Forecasting
- Introduction to scenario modeling and simulation using ML
- Constructing dynamic models for projecting revenue, expenses, and cash flows
- Conducting stress tests on financials based on macroeconomic conditions
Embedding AI into FP&A Processes
- Enhancing spreadsheet workflows with Python or dedicated AI plugins
- Implementing collaborative automation for monthly and quarterly closings
- Integrating AI capabilities into Excel, Power BI, or cloud-based FP&A systems
Auditing, Governance, and Control Mechanisms
- Ensuring AI explainability and readiness for internal audit
- Recording assumptions and AI results to meet compliance standards
- Establishing controls for AI-assisted procedures in financial reporting
Conclusion and Future Directions
Requirements
- A solid understanding of core financial statements and key performance metrics
- Practical experience with spreadsheets or foundational data management tools
- Basic exposure to Python or an openness to utilizing AI-enhanced interfaces
Target Audience
- Corporate finance analysts
- FP&A teams
- Financial controllers
14 Hours
Testimonials (1)
The background / theory of LLMs, the exercise
