Future-Proofing Revenue Engines Using AI With Parry Bedi

About Guest

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.

In this episode…

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.

A glimpse of what you will learn

• [02:17] Parry Bedi reflects on staying committed to AI for 15-plus years before it became mainstream
• [05:34] Shifting from deterministic systems to probabilistic thinking and why it changes everything
• [08:00] Inside Tingono’s AI agent and how it predicts churn while automating customer success workflows
• [10:14] Why humans should focus on strategic relationships while AI handles complex data analysis
• [12:22] Parry explains how to scale white-glove customer success with smaller teams using AI
• [15:40] Why executives struggle with AI adoption and what Parry says they misunderstand about it
• [20:39] Starting with data instead of anecdotes when diagnosing churn across the customer journey
• [25:42] The growing reality that AI is becoming essential and how Parry sees SaaS business models evolving

Resources Mentioned in this episode

• Alex Gluz on LinkedIn
• T.A. Monroe Digital Agency
• Parry Bedi: LinkedIn | Email
• Tingono
• Forrester
• NVIDIA
• ChatGPT
• Claude
• The Thinking Machine: Jensen Huang, Nvidia, and the World's Most Coveted Microchip by Stephen Witt

Quotable Moments

• “But then the marginal cost of acting on what the AI is telling you is so low because you could automate it too.”
• “So I think the first customer, people have to realize that these are probabilistic systems.”
• “So, you know, we should let AI do that kind of busy work.”
• “You could provide this white-glove level of service with such a small number of people.”
• “I think bringing AI in is not like a choice anymore.”

Action Steps

1. Rethink workflows instead of layering AI on top: Adapting processes to AI’s probabilistic nature unlocks real efficiency and avoids wasted implementation efforts.
2. Leverage AI for predictive decision-making: Using AI to anticipate outcomes like churn enables proactive strategies rather than reactive fixes.
3. Focus human effort on strategic interactions: Allowing AI to handle repetitive analysis frees teams to build deeper, high-value customer relationships.
4. Base decisions on comprehensive data, not anecdotes: Data-driven insights reduce guesswork and lead to more accurate, scalable business decisions.
5. Evaluate build versus buy decisions carefully: Investing in the right balance of in-house development and external tools ensures efficiency and long-term scalability.

Sponsor for this episode

This episode is brought to you by T.A. Monroe Digital. At T.A. Monroe, we build world class revenue engines for B2B SaaS companies. What that means is we do everything behind the scenes to generate you tons of qualified leads, opportunities and customers.

1. We build highly effective marketing systems and scale their profitably through our demand generation strategies.
2. We think scientifically on how to scale your demand and revenue.
3. We bring decades of experience.

Email us at alex@tamonroe.com or visit www.tamonroe.com today to schedule a strategy session or learn more about our mission.

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