When you’re managing a handful of overdue invoices, collections is a relationship problem. When you’re managing thousands, it’s a systems problem.
In this webinar, Sivan Weissman pulls back the curtain on what a modern, AI-native collections operation actually looks like in practice: what works, and where AI creates real impact beyond the buzzword.
What you’ll take away:
How to leverage AI to collect more and faster.
Common issues driving overdue invoices and how to fix them.
How to turn your collections data into better credit decisions.
If you are responsible for DSO, AR efficiency, or O2C transformation this webinar is for you.
Sivan has spent over a decade building risk systems at some of the most demanding financial environments in the world. Starting at PayPal, where he led consumer risk management globally, then at Meta, where he ran the data science team behind fraud and compliance for Facebook’s financial products.
At Balance, Sivan leads the risk and analytics function that sits at the core of the platform, developing Balance’s AI credit risk engine, collections strategy, and managing the data systems that process AR for some of the largest B2B marketplaces and distributors in the US.