Artificial intelligence is transforming how financial professionals work, but the real advantage isn’t the tool itself; it’s knowing how to use it without compromising analytical rigor. Many analysts jump straight to AI for answers, resulting in generic outputs that don’t address their specific analytical needs. Others avoid AI entirely, missing efficiency gains. This practice lab teaches a structured approach to AI-assisted financial analysis. You’ll learn CFI’s CAP-AJ framework (Context, Assumption, Prompt, Assess, Judge), a methodology that ensures AI strengthens your analysis rather than replacing your professional judgment. Through hands-on practice with a realistic income statement scenario, you’ll apply this framework to test assumptions about revenue recognition, expense classification, one-off items, and timing, building a repeatable skill that transfers to any analytical domain, from equity research to credit analysis to M&A due diligence.