Parry Bedi is the Co-founder and CEO of Tingono, an AI-powered platform that helps SaaS companies improve retention and grow revenue by predicting churn and automating customer success workflows. Parry is a serial entrepreneur and former AI leader at Microsoft whose previous startup was acquired by Forrester. With deep experience in machine learning and enterprise software, he focuses on helping businesses turn data into actionable, scalable growth strategies.

AI didn't suddenly appear; it's been quietly reshaping how businesses think about growth for years. But now that it's everywhere, the real question is: Are companies actually using it to build smarter revenue engines or just layering it onto old systems?

According to Parry Bedi, a seasoned AI leader who has spent over a decade working on machine learning systems, the shift comes down to understanding that AI is fundamentally probabilistic, not deterministic. He explains that instead of rigid if-this-then-that logic, AI operates on predictions and confidence levels, which opens the door to entirely new ways of making decisions and designing workflows. Rather than forcing AI into legacy processes, businesses need to rethink how work gets done so humans focus on strategic moments while AI handles scale. The result is not just efficiency, but a complete transformation in how revenue engines operate.

In this episode of the Revenue Engine Podcast, Alex Gluz is joined by Parry Bedi, Co-founder and CEO of Tingono, to discuss how AI is reshaping revenue engines. They explore probabilistic versus deterministic systems, using AI to predict churn and drive retention, and why traditional SaaS workflows need a complete overhaul. Parry also shares advice on when to build AI in-house instead of investing in specialized tools.