Foundations Before Acceleration - a Planning Aces Episode

In this Planning Aces episode, three seasoned CFOs share how modern FP&A is evolving from a static function into a strategic engine. Kevin Rubin of Zscaler frames AI as an experimentation discipline, insisting on a centralized AI governance layer that vets every new tool against existing capabilities. This approach curbs technology sprawl, aligns AI spend with budgeting cycles, and embeds AI decisions within the broader capital‑allocation process. The conversation underscores that successful AI adoption starts with clear governance, not a rush to deploy shiny solutions.

Bruce Schumann of Universal Technical Institute highlights the prerequisite of a solid data foundation before AI can add value. His team invested a year in business‑process redesign, data‑lake construction, and ERP consolidation, recognizing that “garbage in, garbage out” erodes any AI advantage. The CFO‑CIO partnership proved critical; together they selected an ERP platform with native AI integration, ensuring that data quality, governance, and long‑term scalability were baked into the technology stack. This disciplined, bottom‑up methodology illustrates why finance leaders must prioritize data hygiene and cross‑functional alignment before launching AI‑driven forecasting models.

Rizak Jalloh of Flowcast warns against the “spaghetti AI” trap—multiple point solutions that fail to communicate, creating audit and trust issues. He advocates a platform‑first strategy, limiting the toolset to two or three integrated solutions that can be orchestrated across the finance function. Treating AI initiatives as a portfolio of investments allows CFOs to test, validate, and scale projects responsibly, mirroring traditional capital‑allocation practices. The episode delivers a clear roadmap: establish governance, build data foundations, align finance and technology leadership, and adopt a unified platform to turn AI from a risk into a performance driver.