The Future of FP&A with AI for Finance Professionals to Move Beyond Excel Analysis with Derek Baker
Why It Matters
AI‑driven FP&A eliminates spreadsheet bottlenecks, accelerates insight, and positions finance as a strategic bridge to executive decision‑making.
Key Takeaways
- •AI will replace Excel for ad‑hoc financial analysis
- •Focus on a few high‑impact assumptions, not endless spreadsheet models
- •Build “focus areas” within FP&A to deepen expertise as firms scale
- •Leverage AI‑driven skills (Claude, ChatGPT) to automate reporting pipelines
- •Transition data to warehouses; use semantic layers for reliable AI queries
Summary
In this episode of FPNA Unlocked, Derek Baker, head of strategic finance at Circle, explains how artificial intelligence is reshaping the role of financial planning and analysis. He argues that traditional spreadsheet‑driven models are becoming obsolete and that the future hinges on identifying a handful of critical business assumptions and feeding them to AI engines for faster, more accurate insight.
Baker highlights several concrete shifts: AI‑powered automation of Circle’s monthly finance report (the AIOS project), the move from ad‑hoc Excel analysis to code‑based queries in data warehouses, and the creation of focused FP&A “focus areas” that allow analysts to dive deep into specific go‑to‑market segments while retaining a big‑picture view. He also stresses the importance of AI “skills” – repeatable, instruction‑driven processes that can be trained in tools like Claude – to replace one‑off spreadsheet hacks.
A memorable quote underscores the urgency: “If you’re doing analysis in Excel, you’ll get left behind really quickly.” Baker’s own journey—from using ChatGPT to learn Python syntax to relying on Claude for autonomous reporting—illustrates how quickly the toolset evolves. He points to the data‑warehouse‑first approach and semantic layers as the foundation for reliable AI‑driven analysis.
For finance leaders, the takeaway is clear: upskill teams, re‑architect data pipelines, and embed AI into the FP&A cycle now or risk falling behind. Organizations that adopt these practices can expect faster decision cycles, higher‑quality forecasts, and a more strategic partnership between finance and executive leadership.
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