#307 What Should CFOs Fix Before Using AI in Forecasting? Carolina Lago Managing Director, Tactic Financial
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 conversation outlines a practical model: use established tools and rules for repeatable calculations, apply AI where analysis and scenario exploration benefit from it, and keep people involved to supply business context and review outputs. With those foundations in place, AI can help finance teams analyze more forecast drivers and test more scenarios—not simply produce results faster. About Caroline Lago Carolina Lago has spent more than 25 years building financial models and leading FP&A teams across Latin America, North America, and Europe. She now runs Tactic Financial and The Tactical Room, where she teaches finance professionals how to actually put AI to work: Python in Excel, AI agents, and her Three forces to AI framework for producing repeatable reliable results. Her focus is the unglamorous middle of AI adoption, the part after the demo and before the rollout, where most finance teams stall. She runs a cohort-based AI Accelerator for FP&A teams, writes The Tactical Room newsletter, and speaks internationally, including at the Global Excel Summit in London and the AFP annual conference. She is a member of the Financial Modeling Global Leaders Council. Carolina is based in Basel, Switzerland, and teaches from the trenches, not the textbook. Key topics covered: CFOs should prioritize process design before selecting or adding AI tools. Finance teams need to map data flows, clarify ownership, and create a reliable source of truth. Repeatable calculations and data-cleaning steps should remain governed by dependable rules and tools such as SQL or Power Query. AI is better suited to analysis and exploring possibilities than to recreating deterministic calculations each time. A human-in-the-loop workflow can add business context and help identify errors or misleading outputs. Once the foundations are sound, AI can help teams examine more line items and test a wider range of scenarios. Links Carolina Lago on LinkedIn Kevin Appleby on LinkedIn GrowCFO Mentoring Timestamps: 00:02:55 — AI should build on functioning processes rather than replace them. 00:06:16 — Establish data flows, a single source of truth, and clear process responsibilities. 00:09:14 — Use structured workflows and rules for data cleaning instead of relying on uncontrolled prompts. 00:15:41 — The three-part workflow: deterministic processes, AI analysis, and human judgment. 00:20:11 — AI can help finance teams investigate forecasts more deeply and explore more possibilities. 00:27:20 — Design the workflow first, then identify where AI can add value. Find out more about GrowCFO If you enjoyed this podcast, you can subscribe to the GrowCFO Show with your favorite podcast app. The GrowCFO show is listed in the Apple podcast directory, Spotify and many others. Why not subscribe there today? That way, you never miss an episode. GrowCFO is a great place to extend your professional network. Join GrowCFO as a free member today and participate in our regular networking events and webinars. Premium members can also access our extensive training center and CFO Digital Toolkit. You can enroll in our flagship Future CFO or Finance Leader programs here. You can find out more and join today at growcfo.net