What you will learn:
In 60 minutes, Nicolas Boucher and Abacum's co-founder will draw the line that most AI-in-finance content avoids: where a spreadsheet and Claude genuinely gets you 80% of the way there and where that last 20% is exactly what your board, your auditors, and your CFO actually care about.
You'll see live:
Where AI tools alone work well - drafting commentary, exploring a dataset, running a quick scenario from a CSV, generating first-draft variance narratives. Fast, low-stakes, genuinely useful.
Where they start to break - when data comes from 6 systems, when three departments need to agree on the same number, when you need to explain to an auditor why the forecast changed.
Where you need AI-native infrastructure - deterministic modeling that produces the same answer every time, governed data your board can trace back to source, collaborative workflows that don't live in someone's chat history.
The decision framework - a simple rubric for categorizing any FP&A task: is this a "Claude can handle it" moment, or a "we need the system underneath it" moment?
