AI Prompting for Financial Analysis

AI Prompting for Financial AnalysisCourse Overview

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.

Who should take this course?

This practice lab is designed for financial analysts, FP&A professionals, equity researchers, credit analysts, accountants, and corporate development professionals who want to use AI tools effectively without compromising analytical rigor or professional judgment. Whether you’re reviewing financial statements, evaluating investment opportunities, or conducting due diligence, this framework helps you maintain control of your analysis while gaining efficiency through AI.

AI Prompting for Financial Analysis Learning Objectives

• Analyze reported financial figures to surface implicit assumptions that must be tested before relying on AI-supported analysis.
• Apply a structured prompting framework to evaluate and challenge AI-generated insights
• Determine what AI output to accept decide what to accept, question, or flag for follow-up.