GrowCFO Show

https://open.spotify.com/episode/0rBRhSM8E5kLRjNRvQlG0w Reliable forecasting is essential to sound financial planning, but AI cannot compensate for unreliable data or broken workflows. Carolina Lago, Managing Director at Tactic Financial discusses why CFOs should first establish clear data flows, a single source of truth, and dependable processes before layering AI into forecasting. That groundwork helps make forecasts more consistent, verifiable, and useful for decision-making. The conversati

https://open.spotify.com/episode/1akR1CIZLVRQ89FSp1hAZe As finance teams face mounting pressure to adopt AI, CFOs need a practical starting point – not a rushed, organization-wide rollout. Gavin McGahey, CTO & Co-Founder at AccountsIQ, examines the gap between finance professionals’ interest in AI and their need for confidence in its accuracy, security, and business value. The episode references a survey of more than 1,000 senior finance professionals and reports that 81% mostly or fully trust

https://open.spotify.com/episode/6kI5GE0gJB2IBBoEGtAWJm As organizations scale AI, CFOs must balance faster, more efficient finance operations with cost control, reliable decision-making, data protection, and accountability. In this episode, the discussion frames AI governance not simply as a compliance checkpoint, but as a performance system—one that can help organizations adopt AI with confidence while supporting business value and innovation. Bruce Mullan, Managing Partner, AI Governance Pa

https://open.spotify.com/episode/2TUU4Nmtl7w7NGfAz2nzdf A product’s strong gross margin does not always translate into strong profit. When support, sales, customer service, and other indirect costs are left out of product-level analysis, a high-margin product can consume more resources than it generates. In this episode, Pauline Healey explains why businesses need to look beyond headline margins to understand the true cost of serving each product and customer. Pauline Healey, founder of Logica

https://open.spotify.com/episode/3ZNZMVgTlQPe0bhhozHSRb For fifteen years the software P&L was a settled question: hosting was a rounding error, gross margins held above 80%, and investors underwrote growth against a predictable annuity stream. That assumption is breaking. AI and cloud infrastructure has become one of the largest and least predictable costs on the P&L, moving faster than most finance teams have built the vocabulary or forecasting discipline to handle it. Ed Barrow, Founder and

https://open.spotify.com/episode/3iVbLkvEWH7j8zxvRzOsK6 Rapid advances in AI are transforming how finance teams forecast cash flow, detect fraud, and automate routine reporting, raising difficult questions about what happens to traditional roles when machines can achieve in minutes what once took analysts days. At the same time, many economies are grappling with skills shortages in some areas and structural unemployment in others, especially among younger professionals trying to break into the