Radio and PodcastRadio and PodcastLive Radio & Podcasts
AI, Data, and Human Touch in SaaS With Ben Chodor artwork
Business

AI, Data, and Human Touch in SaaS With Ben Chodor

Revenue Engine Podcast by Alex Gluz

Apr 24, 202640:01Business

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 processe...

About This Episode

AI, Data, and Human Touch in SaaS With Ben Chodor is an episode from Revenue Engine Podcast by Alex Gluz. Ben Chodor is CEO of CallRevu, an automotive technology company delivering AI-driven call analytics and communication solutions to tho...

Podcast

This episode belongs to Revenue Engine Podcast.

Listen Online

Use the player on this page to stream the episode online.

Episode Details

Published Apr 24, 2026, 40:01 long, audio available.

Questions About This Episode

What is AI, Data, and Human Touch in SaaS With Ben Chodor about?

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. In this episode… 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.

Where can I listen to AI, Data, and Human Touch in SaaS With Ben Chodor?

You can listen to AI, Data, and Human Touch in SaaS With Ben Chodor online on Radio and Podcast. Open the player on this page to stream the available audio.

Which podcast is AI, Data, and Human Touch in SaaS With Ben Chodor from?

AI, Data, and Human Touch in SaaS With Ben Chodor is an episode from Revenue Engine Podcast by Alex Gluz.

How long is this episode?

This episode is 40:01 long.

When was this episode published?

This episode was published on Apr 24, 2026.

Can I save AI, Data, and Human Touch in SaaS With Ben Chodor for later?

Yes. Use the heart button on the episode page to add it to your favorite episodes list.

Are there related episodes from Revenue Engine Podcast?

Yes. This page shows related episodes from Revenue Engine Podcast when more episodes are available from the podcast feed.

Quick Answers About This Episode

Where can I listen to AI, Data, and Human Touch in SaaS With Ben Chodor?

You can listen to AI, Data, and Human Touch in SaaS With Ben Chodor on this page when the episode audio is available from the podcast feed.

Which podcast is this episode from?

AI, Data, and Human Touch in SaaS With Ben Chodor is from Revenue Engine Podcast by Alex Gluz.

What are the episode details?

Published Apr 24, 2026 and 40:01 long