Jul 14, 2026 · 32 min · 11 segments
AI is transforming how organizations work—but the real challenge isn’t the technology, it’s the leadership. In this episode of the Good Leadership Podcast, Paul Batz sits down with Mark Rehborg, Thong…
Paul BatzHost
Corey RuffGuest
Mark RehborgGuest
Thong NguyenGuest
Dan Mallon, who was on the first podcast, has been working on with IBM Watson technology for 20 years.

Yeah, probably not to the same extent, but we've been trying to automate as much as we possibly can really since day one.

So I started here about nine years ago, and there was a lot of just manual processes from a data reporting standpoint.

And we've worked to really automate that and free people up, which will be a theme certainly of AI enablement.

But it's made us so much more efficient where we can build pricing models or football decision models that used to take weeks to build and validate and gather all the data.

So we're able to repurpose a lot of that time to be more efficient or tackle other projects and try to create more of that work-life balance.

Yeah, this is a great place to start, Paul, because for me as a sales leader, AI is less about replacing what the team does and more about tightening it up.

And I'm always constantly thinking through questions like, are we following the same process? Are we asking the right questions? Are we showing up prepared every time? So AI becomes an enabler for that discipline.

It flags those gaps and it makes the sales team even more prepared to have a sharper read on what the customer's actual needs are versus that assumed need.

And honestly, going through the master's program forced me to slow down and separate the hype from what actually happens on a Tuesday morning when I'm meeting with a customer or the account team to go through the business.

Okay, so Thong, you're on sabbatical, so the work question might be a little bit different, but how is it changing how you work? So

I'll reframe back to my product development work from a day-to-day execution perspective.

Work that used to take weeks or months could be done in days or sometimes even hours.

But when you take a step back and look at it more strategically, some of the horizon capabilities have me really thinking, a little bit less about productivity and more about what is going to happen when AI moves from software we use than becoming an actual collaborator that we work alongside.

Dan Mallon, who was on the first podcast, has been working on with IBM Watson technology for 20 years.

Yeah, probably not to the same extent, but we've been trying to automate as much as we possibly can really since day one.

So I started here about nine years ago, and there was a lot of just manual processes from a data reporting standpoint.

And we've worked to really automate that and free people up, which will be a theme certainly of AI enablement.

But it's made us so much more efficient where we can build pricing models or football decision models that used to take weeks to build and validate and gather all the data.

So we're able to repurpose a lot of that time to be more efficient or tackle other projects and try to create more of that work-life balance.

Yeah, this is a great place to start, Paul, because for me as a sales leader, AI is less about replacing what the team does and more about tightening it up.

And I'm always constantly thinking through questions like, are we following the same process? Are we asking the right questions? Are we showing up prepared every time? So AI becomes an enabler for that discipline.

It flags those gaps and it makes the sales team even more prepared to have a sharper read on what the customer's actual needs are versus that assumed need.

And honestly, going through the master's program forced me to slow down and separate the hype from what actually happens on a Tuesday morning when I'm meeting with a customer or the account team to go through the business.

Okay, so Thong, you're on sabbatical, so the work question might be a little bit different, but how is it changing how you work? So

I'll reframe back to my product development work from a day-to-day execution perspective.

Work that used to take weeks or months could be done in days or sometimes even hours.

But when you take a step back and look at it more strategically, some of the horizon capabilities have me really thinking, a little bit less about productivity and more about what is going to happen when AI moves from software we use than becoming an actual collaborator that we work alongside.
The rest of this transcript — segmented and speaker-labeled, so you land on the exact moment something was said
Search every transcript — by keyword, by phrase, or by meaning, across every show Radar indexes
Trends — what is surging across podcasts, measured against its own baseline
Alerts — when a name you follow appears in a newly indexed episode
No account is needed to search Radar.