How FP&A Teams Can Improve Decision-Making with Scenario Planning & Financial Models - Michael
Why It Matters
Integrating AI with disciplined, modular financial models gives FP&A teams faster insights and reduces costly missteps, a competitive edge for both startups and large enterprises.
Key Takeaways
- •AI will become standard layer for data cleaning and model building
- •FP&A must balance model detail with usability, avoiding transactional overload
- •Long development cycles demand patience; rapid VC growth can limit architecture
- •Small businesses face same planning complexities as enterprises but lack resources
- •Kaleidoscope aims to redesign modeling tools with AI‑driven, modular architecture
Summary
The episode of FP&A Unlocked features Michael Gould, founder of Kaleidoscope and former Anaplan CTO, discussing how scenario planning and financial models are evolving under AI pressure.
Gould stresses that AI will soon be embedded in every planning platform to automate data ingestion, cleaning, and even formula generation. He warns that FP&A professionals must master the trade‑off between model granularity and usability, avoiding the temptation to model at the transactional level.
He recounts building Anaplan’s core calculation engine in a Yorkshire barn, a four‑and‑a‑half‑year effort before landing the first customer, and notes how venture‑capital‑driven growth forced short‑term feature prioritization over long‑term architecture. Kaleidoscope, his sixth attempt at a planning tool, is designed as an AI‑driven, modular system that learns from those lessons.
For finance teams, the message is clear: adopt AI‑enhanced tools, invest in scalable model design, and resist the rush to customize at the expense of a robust foundation—especially critical for small firms where a bad decision can exhaust cash reserves.
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