​How to Audit Every Retailer Chargeback With AI, Built Live in 30 Minutes

​Up to 20% of retailer deductions are invalid. But most never get disputed.

​Why?

Because checking one often costs more than the deduction itself!

​On October 8, Claudia Szaflarski and Eric Flores from Prowork's Applied AI team show how you can automate your chargeback audit with AI. They'll build the whole thing live, from raw retailer files to a finished report, in about 30 minutes. No code.

​What you'll leave with:

• ​The skill that matters now: how to describe a process in plain English so the build comes out right.

• ​What stays human: which parts of the audit AI should own, and which stay with a person.

• ​Where these projects break: how to handle messy, inconsistent data from different sources.

• ​What to automate next: other workflows where you can find margin in your ops.

​Who this is for: anyone in supply chain ops or finance who wants to find margin without a technical team. You don't need to be a Prowork user. If you match data by hand today, this session is for you.

​About the Hosts:

​I'm Gowtham Ramachandran, founder and writer of The Conveyor. I spent seven years running an electronics manufacturing company. When COVID hit, it exposed how fragile my supply chain was - and how hard it was to find practical advice to help me improve it. I started writing The Conveyor to change that. My goal is to help you improve their supply chain ops, with confidence.

​Prowork by Parabola is the AI-native platform for the long tail of finance and operations. It helps the people closest to each process turn scattered operational data and undocumented, changing logic into visible, code-backed Flows. Teams can get a useful analysis or Artifact immediately, validate the implementation on live data, deploy it as a managed agent, and continuously improve it. Prowork is built for whole operational datasets and gives IT the permissions, monitoring, lineage, version history, and controls required for production.