The Applied AI team explores the boundaries of what’s possible with AI, finds innovative ways to apply the technology to Financial Planning & Analysis (FP&A), and ships features enabling users to make smarter, data-driven decisions.
What We’re Focused On:
We focus on leveraging LLMs to supercharge financial analysis workflows, ensuring our AI outputs are explainable, reliable, and aligned with user needs. We operate in a space in which accuracy and transparency are critical, so we spend a lot of time integrating domain-specific expertise and use-case context to improve AI output. Because accuracy and transparency are critical in finance, we’re not just building new AI-driven features—we’re creating the core modules of a trustworthy AI platform for finance.
One example of our current work is an AI agent for variance analysis. It fully automates the recurring finance workflow of identifying the key drivers behind a change—like explaining a 30% increase in headcount costs in December by end-of-year bonus payouts. There are many technical challenges in making this happen: producing good outputs requires combining deterministic data science approaches with LLMs, where the agent may run many queries over large datasets to avoid missing key drivers. We also need a clear way to show users what we did and why, so they can trust and validate the results.
Why You’ll Love It Here:
You’ll collaborate with some of the best engineers in applied AI and have the freedom to experiment with emerging technologies, pushing the boundaries of what’s possible in financial planning.
Current team size: 5
Manager: Santiago Perez De Rosso, CTO