AI in finance: what's working, what isn't, and where it's heading

Watch finance leaders from Higgsfield, Arta, and Rippling break down how they're actually using AI today—the wins, the frustrations, and what they're building toward.

Finance leaders from Higgsfield, Arta, and Rippling discussing how AI is changing the finance function at high-growth startups

AI is rewriting how finance teams work — month-end close, forecasting, expense review, ad-hoc analysis. But the gap between the headlines and what's actually useful in a finance function is still wide. So we asked three finance leaders to skip the hype and tell us what's working, what isn't, and where they're investing next.

In this on-demand panel, Michelle Chung (Senior Director, Strategic Finance at Rippling), Ruchi Gupta (VP of Finance at Higgsfield), and Kyle Christensen (Head of Finance at Arta Finance) break down the moments AI clicked for them, the places it still falls down, and how it's changing who they hire. Plus a demo of Rippling AI from product lead Anu Rajan.

AI can look at the numbers. It can produce automated reports. But it doesn't have the human context — that level of taste that comes from years working with people.

Whether you're just starting to roll out AI in your finance org or already have it embedded in your monthly workflows, this is the honest, in-the-weeds view of where things actually stand.

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