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
What is The Margin?
The Margin is a podcast from MGI Research that explores the evolving world of business monetization. Hosted by MGI Managing Directors Andrew Dailey and Igor Stenmark, the show features candid conversations with founders, CEOs, product leaders, and industry experts at the forefront of pricing, billing, and revenue operations. Each episode dives deep into the strategies, technologies, and trends shaping how companies generate, capture, and grow revenue—from subscription and usage-based models to AI-driven monetization. Whether you're in finance, product, or IT, The Margin offers practical insights to help you navigate complexity and drive growth in the digital economy.