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Treat AI Like a Partner, Not a Tool

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Manage episode 489097480 series 2833920
Content provided by Elevano. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Elevano or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of The Tech Trek, Christina Garcia, SVP of Engineering at Echo Global Logistics, shares her insights on integrating AI not as a replacement but as a partner in business operations. We unpack how organizations can holistically rethink processes, overcome adoption hurdles, and empower innovators inside the company to co-create AI use cases. Christina also opens up about the unique leadership pressures this wave of transformation brings—and how she manages them.

🔑 Key Takeaways:

AI as a collaborator, not a replacement: The best outcomes come from reimagining processes where AI augments human work, especially in repetitive or low-ROI tasks.

Involve frontline innovators early: The most valuable insights often come from those doing the work. Let them help shape the solution.

Avoid AI hype traps: Not every problem needs generative AI. Use the right tool for the job—and focus on business value, not buzz.

Learning over immediate ROI: Start with low-risk use cases to build organizational muscle and maturity.

Leadership challenge: The pressure isn’t just urgency—it's finding the space to experiment while delivering on core business commitments.

🕒 Timestamped Highlights:

00:00 – Intro & Overview

Christina joins the show to talk about treating AI as a true teammate in the enterprise.

01:58 – AI evolution and tuning complexity

From 1980s DJ boards to modern EQs—how fine-tuning models with vast datasets is changing.

03:40 – Generative AI in action

Using AI for documentation, code reading, legacy systems—real applications that shift ROI.

06:21 – Who should be at the table for AI integration?

It’s not just leadership—bring in the doers, early adopters, and tool testers.

09:40 – Stakeholder enthusiasm and the AI buzz cycle

Why generative AI is unlike previous tech waves—and the danger of inflated expectations.

13:52 – The hammer and flyswatter problem

Helping teams focus on the right use cases without killing excitement.

17:47 – The ROI tradeoff: learn now, pay later

Why experimentation is essential—even if today’s results are fuzzy.

21:42 – What pressure feels like for leaders right now

Carving out capacity, not just funding, is the modern leadership crunch.

24:30 – The compressed AI adoption curve

Companies are jumping in fast—ripping off the learning Band-Aid.

25:11 – Where to connect with Christina

Find her on LinkedIn.

💬 Quote of the Episode:

“If you don’t trust the AI to do the task, and you make a human micromanage it—you’ve actually increased the workload.” – Christina Garcia

📚 Resources Mentioned:

The Innovator’s Dilemma by Clayton Christensen

💼 Career Tips (from the conversation):

Credibility matters when guiding tech decisions: Don’t just say “no”—offer a better path rooted in understanding the problem deeply.

Stakeholder management is key in AI adoption: Be transparent, protect the business, and educate with empathy.

Early involvement = stronger adoption: Let your internal innovators shape and test the tools before rolling out org-wide.

  continue reading

474 episodes

Artwork
iconShare
 
Manage episode 489097480 series 2833920
Content provided by Elevano. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Elevano or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://ppacc.player.fm/legal.

In this episode of The Tech Trek, Christina Garcia, SVP of Engineering at Echo Global Logistics, shares her insights on integrating AI not as a replacement but as a partner in business operations. We unpack how organizations can holistically rethink processes, overcome adoption hurdles, and empower innovators inside the company to co-create AI use cases. Christina also opens up about the unique leadership pressures this wave of transformation brings—and how she manages them.

🔑 Key Takeaways:

AI as a collaborator, not a replacement: The best outcomes come from reimagining processes where AI augments human work, especially in repetitive or low-ROI tasks.

Involve frontline innovators early: The most valuable insights often come from those doing the work. Let them help shape the solution.

Avoid AI hype traps: Not every problem needs generative AI. Use the right tool for the job—and focus on business value, not buzz.

Learning over immediate ROI: Start with low-risk use cases to build organizational muscle and maturity.

Leadership challenge: The pressure isn’t just urgency—it's finding the space to experiment while delivering on core business commitments.

🕒 Timestamped Highlights:

00:00 – Intro & Overview

Christina joins the show to talk about treating AI as a true teammate in the enterprise.

01:58 – AI evolution and tuning complexity

From 1980s DJ boards to modern EQs—how fine-tuning models with vast datasets is changing.

03:40 – Generative AI in action

Using AI for documentation, code reading, legacy systems—real applications that shift ROI.

06:21 – Who should be at the table for AI integration?

It’s not just leadership—bring in the doers, early adopters, and tool testers.

09:40 – Stakeholder enthusiasm and the AI buzz cycle

Why generative AI is unlike previous tech waves—and the danger of inflated expectations.

13:52 – The hammer and flyswatter problem

Helping teams focus on the right use cases without killing excitement.

17:47 – The ROI tradeoff: learn now, pay later

Why experimentation is essential—even if today’s results are fuzzy.

21:42 – What pressure feels like for leaders right now

Carving out capacity, not just funding, is the modern leadership crunch.

24:30 – The compressed AI adoption curve

Companies are jumping in fast—ripping off the learning Band-Aid.

25:11 – Where to connect with Christina

Find her on LinkedIn.

💬 Quote of the Episode:

“If you don’t trust the AI to do the task, and you make a human micromanage it—you’ve actually increased the workload.” – Christina Garcia

📚 Resources Mentioned:

The Innovator’s Dilemma by Clayton Christensen

💼 Career Tips (from the conversation):

Credibility matters when guiding tech decisions: Don’t just say “no”—offer a better path rooted in understanding the problem deeply.

Stakeholder management is key in AI adoption: Be transparent, protect the business, and educate with empathy.

Early involvement = stronger adoption: Let your internal innovators shape and test the tools before rolling out org-wide.

  continue reading

474 episodes

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