
This course, developed entirely from scratch using the latest generation of AI research applications, provides a concise overview of how generative AI tools—such as ChatGPT and other large language models—can transform traditional financial statement analysis into a dynamic, multidimensional decision intelligence system. Rather than focusing solely on ratios and historical metrics, participants learn how to apply AI-assisted analytical frameworks that evaluate earnings quality, liquidity resilience, capital efficiency, structural risk, and strategic optionality. The course introduces a five-lens analytical model designed to help accountants move beyond static reporting and toward strategic financial interpretation. Participants will explore how AI-driven prompts and structured analytical workflows can reveal hidden risks, validate management narratives, and support board-level insights. By combining financial expertise with AI-enabled pattern recognition, accountants will learn to uncover deeper signals within financial statements and communicate more powerful strategic insights to stakeholders.
Topics Covered:
The AI-enabled financial intelligence framework for accountants
Earnings normalization and profit quality analysis
Revenue durability and margin sustainability diagnostics
Liquidity visibility, survival analysis, and debt stress testing
Working capital efficiency and cash conversion analysis
Capital efficiency, ROIC decomposition, and economic value creation
Structural fragility detection and strategic optionality analysis
Target Audience:
This course will benefit accountants, financial analysts, CFOs, and advisory professionals who want to leverage AI tools to elevate financial analysis from compliance reporting to strategic business intelligence.
This course includes: