RPA in FP&A

Inside the CFO Office Podcast | Episode 26

What happens when FP&A moves beyond reporting and becomes a true driver of business insight?

In this episode of Inside the CFO Office, I speak with Aaron Zhou, a global finance leader with over two decades of experience across organizations like GE, Rio Tinto, Worley, and RPS, where he has led large-scale finance transformation initiatives.

From starting his career in corporate accounting to stepping into global leadership roles, Aaron shares a practical perspective on how FP&A is evolving through automation, data, and technology.

As finance teams adopt RPA, AI, and intelligent automation, the role of FP&A is shifting from manual reporting to real-time insight generation and strategic business partnership.

Here’s what we unpacked in this episode:

👉 Aaron’s journey across corporate finance, accounting, and FP&A into global leadership roles

👉 How FP&A has evolved from traditional reporting and variance analysis to automated, data-driven insights

👉 Why RPA is best suited for high-volume, rule-based processes like reporting and dashboards

👉 The role of AI in enhancing forecasting through broader datasets and model-driven insights

👉 How FP&A is becoming a “superhuman” business partner with deeper data visibility

👉 Why prioritizing automation based on ROI, complexity, and scalability is critical

👉 The importance of quick wins in driving finance transformation success

👉 How professionals can transition into tech-enabled finance roles through continuous learning

👉 The shift from reporting to insight generation and strategic influence

👉 Why human judgment remains essential despite increasing automation

One insight from Aaron that really stood out:

🗣️ “FP&A will be elevated further — to become a superhuman business partner, because it now has access to far richer data and insights.”

Chapters

00:00 – Teaser
04:00 – Introduction & Context Setting
06:20 – Finance Leadership Journey
08:40 – Defining Moments & Role of RPA in Reporting
11:30 – Evolution of FP&A
14:30 – Finance Transformation & Business Value Lens
17:30 – Implementation Challenges & Stakeholder Alignment
23:00 – RPA Use Cases & Where Not to Automate
25:30 – Prioritization Framework for Automation
28:00 – Change Management & Workforce Mindset Shift
30:00 – Leadership, Governance & Decision-Making
32:30 – AI vs RPA vs Analytics in Finance
35:00 – Future of Forecasting with AI
37:30 – Career Advice for Finance Professionals
40:00 – Closing

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