Uploaded July 2026 | Updated September 2026, 3 weeks ago

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Ask any LLM a financial question about your business. You'll get a fluent, confident, generic answer — one that doesn't truly know your business, or what happened when businesses like yours made that same decision. We build financial AI at Intuit serving 100M+ customers. Our custom LLMs outperform general-purpose models on accuracy while cutting latency in half. But that's the foundation, not the destination. I'll cover where financial intelligence goes when AI stops reporting what happened and starts helping you decide what to do next (and does it for you).

Speaker info:
- https://x.com/menkesu
- linkedin.com/in/udimenkes

Timestamps:
0:00 - A three year old's theory of money
2:21 - Why off the shelf models fail at money
2:48 - The rental property example
4:34 - The fluent bluff
6:42 - The Princeton million dollar study
9:45 - Context is not experience
11:03 - Correlation versus causation in pricing
13:37 - Building state, action, outcome data
15:17 - Testing it head to head
16:37 - The era of outcome driven finance
17:55 - Three things to remember