Nidhi Alexander is the Chief Marketing Officer and Executive Vice President at Hexaware Technologies, a global technology and business process services company. Nidhi brings a unique background in journalism, which shapes her approach to marketing as a blend of compelling storytelling and data-driven precision. At Hexaware, she focuses on positioning marketing as a direct driver of business growth, aligning brand strategy with measurable revenue outcomes.

Great marketing today isn't just about being seen, it's about being believed. But in a world flooded with AI-generated noise, how do you build trust while still moving at speed?

For Nidhi Alexander, a seasoned marketing leader shaped by both storytelling and data, the answer is simple: Combine the emotional pull of narrative with the rigor of proof. Nidhi believes that marketing succeeds when it strips away fluff, focuses on real business outcomes, and backs every claim with measurable impact. It's this blend — what she calls becoming a "data-driven storyteller" — that turns marketing from a support function into a revenue driver.

In this episode of the Revenue Engine Podcast, host Alex Gluz is joined by Nidhi Alexander, Chief Marketing Officer and Executive Vice President at Hexaware Technologies, to discuss building AI-led, human-perfected marketing strategies. Nidhi talks about aligning marketing with pipeline outcomes, balancing brand and demand, and using AI to drive efficiency. She also shares advice on governance, personalization, and scaling marketing impact globally.

Ben Chodor is CEO of CallRevu, an automotive technology company delivering AI-driven call analytics and communication solutions to thousands of dealerships across North America. Under his leadership, the company processes nearly 300 million calls annually, turning conversations into actionable insights. A seasoned entrepreneur with over 25 years of experience, Ben has built and scaled multiple SaaS businesses across media, healthcare, and communications, with a strong focus on innovation, data, and the customer experience.

Every SaaS company is racing to adopt AI, automate workflows, and scale faster than ever. But as technology accelerates, one question keeps surfacing: What actually drives growth when everything becomes automated?

For Ben Chodor, a seasoned SaaS operator and longtime builder of data-driven businesses, the answer is clear: Technology alone isn't enough. He believes that while AI can enhance speed and insight, the real differentiator lies in combining data with human connection and service. Drawing from his experience processing hundreds of millions of customer interactions, Ben emphasizes that insights only matter if they lead to better conversations, decisions, and relationships. Ultimately, companies that balance automation with a human touch are the ones that sustain growth.

In this episode of the Revenue Engine Podcast, Alex Gluz is joined by Ben Chodor, CEO of CallRevu, to discuss the evolving role of AI, data, and human connection in SaaS growth. Ben explains how AI is reshaping service and support, why data-driven marketing must go beyond vanity metrics, and how alignment across teams drives revenue. He also talks about adapting leadership as companies scale.

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.