Builders of Financial Agency
Most finance teams are still building forecasts the same way they always have — pulling data, building models, updating spreadsheets. The problem isn't effort. It's that the underlying architecture was never designed to tell you what's coming. In this episode of Builders of Financial Agency, Zone CEO Thomas Kim (AKA TK) joins host Rose Punkunus for a candid conversation about what it actually takes to move finance from reporting on the past to acting on the future. TK draws on 30+ years in technology — including a story from his time at a publicly traded company where a missed line item derailed a board forecast — to explain why even experienced operators can end up driving in the dark. The conversation covers why aggregate forecasting fails at scale, what it means to forecast at the micro level (per customer, per invoice), and why that kind of precision has historically been impossible without serious data infrastructure. They also dig into Zone's partnership with Nixtla — the team behind TimeGPT, a foundation model for time series forecasting — and how it fits into Zone's broader architecture as the "foresight layer" alongside its orchestration and experience layers. Plus: what Zone's billing anomaly detection is doing in practice today, the "intern vs. professional agent" distinction TK uses to explain where AI in finance actually is right now, and why the next phase isn't about one smart tool — it's about a system of agency that works across the full financial operation. If you're a finance leader thinking about what AI actually means for your team in practice, this one's worth your time. Wanna nominate yourself, someone else, or a topic for a future episode? Let us know: https://hello.zoneandco.com/builders-of-financial-agency-be-on-the-show [https://hello.zoneandco.com/builders-of-financial-agency-be-on-the-show]
4 episodes
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