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How to Use AI to Audit, Scale, and Train Your Team With Confidence | Episode 17

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Manage episode 498444075 series 3625122
Content provided by Jen Weaver. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jen Weaver 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://podcastplayer.com/legal.

AI isn't something you turn on like flipping a switch. Chances are, your team is already using it. That chatbot pilot you ran and the sentiment analysis humming along in your stack, those are AI at work. The challenge isn't adoption, it's making it work for you instead of against you.

This week, I’m joined by Jen McCorkle, a data-driven leader with 25+ years of experience in revenue generation and analytics, for a grounded, tactical conversation about how AI is reshaping customer support from the inside out and what you can do to lead the change. We unpack the alphabet soup (LLMs, GPT, ML, agentic AI), share practical use cases, and get real about the risks, biases, and blind spots that come with these tools.

If you’re ready to stop reacting to AI and start directing it, you need to give this episode a listen.

What we get into:

  • Why your AI tool might be hallucinating… and how to spot it
  • The problem with sentiment analysis (and what to do instead)
  • How to start learning prompt engineering without taking a class
  • Guardrails, audits, and smart pilots before you scale
  • The rise of AI governance, and how support leaders can get ahead

Whether AI feels like magic, mayhem, or just another Monday, this episode will give you the clarity to stop reacting and the confidence to start directing.

Keep Exploring:

📬 Subscribe for weekly tactical tips → Get Weekly Tactical CX and Support Ops Tips

🔍 Follow Jen McCorkle on LinkedIn for more insights →Jen McCorkle on LinkedIn

🎙 Keep listening → More Episodes of Live Chat with Jen Weaver

🗣 Follow Jen for more CX conversations →Jen Weaver on LinkedIn

🤖 Sponsored by Supportman: https://supportman.io

Episode Time Stamps:

0:00 Why AI Feels So Overwhelming

3:17 Generative vs. Agentic AI Explained

6:50 AI Use Cases That Actually Work

10:45 Real-Time Agent Support with AI

13:30 The Flaws in Sentiment Analysis

17:04 Hallucinations, Bias & Bad Data

20:30 Building AI Literacy on Your Team

23:40 Always Pilot Before You Scale

27:15 Human QA for AI Systems

32:42 Will AI Replace Support Teams?

  continue reading

Chapters

1. AI and Empathy: Finding the Balance (00:00:00)

2. Demystifying AI for Support Leaders (00:03:15)

3. AI Use Cases in Customer Support (00:08:50)

4. Understanding AI Terminology (00:15:20)

5. Data Quality and AI Hallucinations (00:22:50)

6. Future-Proofing Support Careers (00:27:40)

7. Prompt Engineering and AI Governance (00:31:40)

8. Will AI Replace Support Agents? (00:37:15)

19 episodes

Artwork
iconShare
 
Manage episode 498444075 series 3625122
Content provided by Jen Weaver. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Jen Weaver 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://podcastplayer.com/legal.

AI isn't something you turn on like flipping a switch. Chances are, your team is already using it. That chatbot pilot you ran and the sentiment analysis humming along in your stack, those are AI at work. The challenge isn't adoption, it's making it work for you instead of against you.

This week, I’m joined by Jen McCorkle, a data-driven leader with 25+ years of experience in revenue generation and analytics, for a grounded, tactical conversation about how AI is reshaping customer support from the inside out and what you can do to lead the change. We unpack the alphabet soup (LLMs, GPT, ML, agentic AI), share practical use cases, and get real about the risks, biases, and blind spots that come with these tools.

If you’re ready to stop reacting to AI and start directing it, you need to give this episode a listen.

What we get into:

  • Why your AI tool might be hallucinating… and how to spot it
  • The problem with sentiment analysis (and what to do instead)
  • How to start learning prompt engineering without taking a class
  • Guardrails, audits, and smart pilots before you scale
  • The rise of AI governance, and how support leaders can get ahead

Whether AI feels like magic, mayhem, or just another Monday, this episode will give you the clarity to stop reacting and the confidence to start directing.

Keep Exploring:

📬 Subscribe for weekly tactical tips → Get Weekly Tactical CX and Support Ops Tips

🔍 Follow Jen McCorkle on LinkedIn for more insights →Jen McCorkle on LinkedIn

🎙 Keep listening → More Episodes of Live Chat with Jen Weaver

🗣 Follow Jen for more CX conversations →Jen Weaver on LinkedIn

🤖 Sponsored by Supportman: https://supportman.io

Episode Time Stamps:

0:00 Why AI Feels So Overwhelming

3:17 Generative vs. Agentic AI Explained

6:50 AI Use Cases That Actually Work

10:45 Real-Time Agent Support with AI

13:30 The Flaws in Sentiment Analysis

17:04 Hallucinations, Bias & Bad Data

20:30 Building AI Literacy on Your Team

23:40 Always Pilot Before You Scale

27:15 Human QA for AI Systems

32:42 Will AI Replace Support Teams?

  continue reading

Chapters

1. AI and Empathy: Finding the Balance (00:00:00)

2. Demystifying AI for Support Leaders (00:03:15)

3. AI Use Cases in Customer Support (00:08:50)

4. Understanding AI Terminology (00:15:20)

5. Data Quality and AI Hallucinations (00:22:50)

6. Future-Proofing Support Careers (00:27:40)

7. Prompt Engineering and AI Governance (00:31:40)

8. Will AI Replace Support Agents? (00:37:15)

19 episodes

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