🎙️ Finance Unscripted Interview #1: Dimple on AI, Judgment & the Art of FP&A
🕵️♀️ Meet Dimple Saini — The Strategist with a Spreadsheet and a Sixth Sense for Numbers
At Finacademics, we believe some of the sharpest insights come not from the headlines, but from the hands of those shaping decisions day after day.
In this edition, we feature Dimple Saini — a Chartered Accountant with over 13 years of FP&A experience across global giants like Amex and Marsh McLennan.
Dimple has built her career turning raw numbers into business clarity, guiding leaders through the noise with confidence. Now, with her sights set on the future of tech-enabled finance, she’s exploring how AI, strategy, and automation intersect to reshape how we work.
Here’s what happens when experience meets experimentation.
1. Dimple, what’s one thing AI has improved in your FP&A workflow — and one thing it hasn’t (yet)?
(We’re all still waiting on that perfect forecast, right?)
AI has been a game-changer in how quickly I can generate insights, draft variance commentaries, seek guidance on visuals or formulas, and clean messy data sets. Tasks that used to take hours are now down to minutes.
That said, where AI still falls short is judgment. It can’t fully understand the context behind business decisions like an unexpected supply chain disruption, a delayed product launch, or a one-off client decision that skews the numbers but doesn’t reflect a real trend.
2. When you’re reviewing a forecast, what’s the first thing you look at — gut instinct or specific number?
(What’s your mental “audit trail” when things feel off?)
I usually begin with a gut check, scanning YoY or MoM movements to catch any immediate red flags. From there, I dig deeper into variances, shifts in assumptions, or anomalies in key drivers. My mental “audit trail” always runs through three filters: are the assumptions sound, is the logic consistent, and does it make sense in the current business context?
3. In your experience, where do finance tools impress on demos but underdeliver in real life?
(No need to name names… unless you want to.)
Many tools promise automation and insights “at the click of a button,” but real value comes only when the backend data is clean, structured, and aligned. I’ve seen tools look magical on screen only to later require heavy manual workarounds because of poor integration.
4. If you were training someone new to FP&A, what’s one lesson you’d teach that goes beyond the spreadsheets?
(Something only experience teaches you.)
Numbers don’t speak for themselves — you have to connect them to business reality, to people, to priorities. That’s what makes your work valuable. With experience, you realize it’s not about being precise — it’s about being directionally right and strategically relevant.
5. You work at the intersection of AI, automation, and strategy — what’s something people still get wrong about “tech-enabled finance”?
(Is it the tools, the mindset, or the expectations?)
Many think it’s all about the tools, but I believe it’s 50% mindset. Without a culture that encourages curiosity, learning, and the willingness to rethink old ways of working, even the best technology won’t drive real change.
Curious for more insights from the minds behind the numbers?
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