The AI Danger Triangle: What Finance Leaders Must Check Before Using Any AI Tool (with Lauren Elizabeth Pearl)

Lauren Pearl is a CFO, advisor, three-time founder, and educator who teaches financial modeling at NYU Stern's Berkeley Center for Entrepreneurship. A former software developer turned finance leader, she has helped more than 300 companies build a financial foundation to scale and currently serves as fractional strategic CFO at North Pole Security, focused on AI security for finance leaders. In this episode, Lauren shares the AI danger triangle framework: three conditions that, when combined, create serious risk for any finance team using AI tools. She explains why startup experience changes how CFOs approach risk, how she onboards into new organizations using a consulting-style diagnostic, and why experience and judgment will become the rarest, most valuable skills in finance as AI makes technical ability more accessible. She also tells the story of discovering her family business had to close after reading its financial statements for the first time at business school. Today's episode is sponsored by Lineos: bring your finance lifecycle into one line of sight, from planning to reporting. Learn more at lineos.com