In this episode of The Margin, MGI Research Managing Directors Andrew Dailey and Igor Stenmark explore one of the hottest, and most misunderstood, topics in enterprise tech: AI in billing. They break down real-world use cases for generative AI and machine learning, assess what’s table stakes versus experimental, and explain how AI is already impacting customer service, fraud detection, and quote-to-cash timelines. They also offer a framework for evaluating vendor claims, discuss risks around data privacy and governance, and tackle the big question: Should you wait or act now?
What You’ll Learn in this Episode:
- The difference between table stakes, differentiated, and experimental AI use cases in billing
- Practical applications of generative AI and machine learning in quote-to-cash processes
- How AI can shorten billing system implementations and reduce disputes
- Key questions to ask vendors about data handling, privacy, and costs
- Why waiting on AI adoption may carry more risk than reward
