Hi!
I’m just back from an incredible, action-packed week in Las Vegas for Money20/20. Between back-to-back hallway conversations, coffee catch-ups at The Venetian, and packed evening events, I’m excited to share with you all my top takeaways on where fintech is heading next.
The Post-Event Trap & The Signal Quality Problem
Across dozens of discussions on the floor with founders and GTM leaders: the leads are there, but the execution speed isn't.
High-performing revenue teams are fixing three major execution bottlenecks this quarter:
The 72-Hour Lead Decay
Blaster emails sent three days after an event are officially dead on arrival. High-intent event conversations need immediate, contextual follow-ups that pick up the exact thread discussed, not a generic drip sequence.
Static Pricing Friction
B2B buyers expect clear, flexible, usage- or value-based pricing structures upfront. Forcing enterprise accounts into rigid, legacy seat-tier calls creates unnecessary negotiation drag.
Over-Leveraged Sales Engineers
As buying committees expand, enterprise deals spend too much time waiting on custom demos and technical validation. Scaling teams are moving toward interactive product tours and self-serve sandboxes early in the cycle to offload technical friction.
Winning today is more about responding to intent before the momentum cools off.
Real-Time Intelligence Beats Static Infrastructure
A dominant narrative across Vegas this week was that AI deployment remains highly uneven. The market is rapidly moving past surface-level "AI-assisted" wrapper tools toward fully AI-native operations, from marketing and revenue execution to compliance and underwriting.
We’re already seeing this shift play out in real time. Just this week, cash-flow underwriting infrastructure provider Prism Data closed a $20M Series A, signaling a broader market move away from static credit scores toward real-time transactional intelligence.
Growth, Not Noise
Gradient Labs Wins Big at Money20/20
To see what true AI-native operations look like when they actually move the needle, look at Gradient Labs.
Founded by ex-Monzo machine learning and data leads, the startup took home Bronze in the Banking category at Money20/20’s Money Awards in Vegas. Their autonomous AI agents go beyond basic chatbot deflection to manage complex disputes, underwriting checks, and customer operations across fintech heavyweights like Wise, Monzo, and Yonder —already reaching over 32 million end users.
It’s a compelling case study proving that the real power of AI isn't in generating generic outreach, but in building continuous, intelligent execution rails behind the scenes.
New Ascend Episode: Why Localized ML Beats Global Fraud Models
Why are global fraud detection models failing modern fintechs? Because fraud in Tokyo doesn’t look like fraud in Osaka. Let alone New York!
In our new episode of Ascend: Stories of Scale, I sit down with Saif Farooqui, Founder & CEO of Corgi Labs (YC W23) and former Data Science Lead at Stripe, Google, and Meta.

We break down:
Hyper-Localized ML: Why tailored, region-specific machine learning models beat universal "meta models" every time.
Precision vs. Recall: How to fine-tune fraud detection so you stop blocking legitimate buyers and driving unnecessary friction.
The 70/30 GTM Strategy: How early-stage AI startups can leverage multi-armed bandit strategies to scale predictably.
Keep an eye on your feed or subscribe on Spotify, Apple Podcasts, or YouTube so you don't miss it.
Evening Highlight: TOAST at the Fintech Penthouse

One of my personal highlights during Money20/20 week was spending an evening at the Fintech Penthouse for TOAST, hosted by MidLyr alongside Stripe and Fintech Is Femme with our incredible community!
A huge thank you to everyone who stopped by to raise a glass and swap insights on the future of financial services. If we connected on the floor, keep an eye out for follow-ups coming your way!
That’s all for this edition.
Which of these trends resonated most with what you're seeing in your market? Drop a reply—I'm always interested in swapping notes on where things are headed.
— Angelique 😊
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