AI can produce a financial model in seconds. The harder problem is knowing whether it's any good, and being able to stand behind it when assumptions get challenged.

Christian Wattig, Director of the FP&A Certificate Program at Wharton Online and Founder of Inside FP&A, will walk through the modeling frameworks that hold up as conditions change. Sebastian Kontarovsky, Head of Solutions at Aleph, will run a live demo showing how AI-native FP&A connects to your actual data and produces something auditable and fast to update. The session is structured as a teaching block followed by a live build — not a panel discussion.

Built for FP&A leads, controllers, and CFOs at VC/PE-backed companies who are already using AI but want to close the gap between what it produces and what they can actually use.

Join in on the discussion to learn:

• The modeling approach that fits your use case: ROI, NPV, or IRR
• How to handle risk through discount rates and hurdle rates
• How to quantify downside with sensitivity and breakeven analysis
• Modeling standards that make models auditable and fast to update
• How to use AI to generate an ARIMA-based statistical forecast
• Where AI outputs still need human judgment — and how to spot the gaps
• How Aleph connects live data to the modeling workflow so you're not starting from scratch every cycle

Plus, much more...