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.