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612 - ​​AI Agents Are the New Hires with Ken Gavranovic

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Manage episode 485087540 series 2097618
Content provided by Paul Higgins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Paul Higgins 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.

Why you should listen

  1. Learn how to build your own AI revenue streams now with agents and digital employees.
  2. Get a reality check on where AI adoption is really at—and how it’s disrupting mid-tier SaaS faster than you think.
  3. Hear practical agent use cases across sales, support, and delivery—straight from a tech leader who's helped raise $ 400 M+ and worked with Fortune 500s.

If you’re still hanging your hat on your SaaS vendor adding AI features, you’re already behind.

In this episode, I talk with Ken Gavranovic, a tech exec who’s been building with AI since before most people could spell LLM. Ken shares how agents (aka “digital employees”) are quietly becoming the next big service you should offer—and why relying solely on platform tools like Salesforce’s Agent Assist will cost you deals, not win them.

We dive into the difference between LLMs and agents, how to package AI advisory work for clients, and the mindset shift SaaS Consulting Partners must make to stay relevant and profitable in 2025.

About Ken Gavranovic

Ken Gavranovic is a seasoned technology executive, global keynote speaker, and member of Thinkers50 and the Forbes Council, renowned for helping brick-and-mortar businesses leverage AI and advanced technologies for immediate, impactful results. With over three decades of experience, Ken has collaborated with top venture firms, guiding over 18 successful exits, 35 mergers and acquisitions, and one IPO. Ken’s expertise spans iconic brands like Disney World and 7-Eleven, where he implemented technology solutions that improved customer engagement and operational efficiency.

Resources and Links


  continue reading

317 episodes

Artwork
iconShare
 
Manage episode 485087540 series 2097618
Content provided by Paul Higgins. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Paul Higgins 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.

Why you should listen

  1. Learn how to build your own AI revenue streams now with agents and digital employees.
  2. Get a reality check on where AI adoption is really at—and how it’s disrupting mid-tier SaaS faster than you think.
  3. Hear practical agent use cases across sales, support, and delivery—straight from a tech leader who's helped raise $ 400 M+ and worked with Fortune 500s.

If you’re still hanging your hat on your SaaS vendor adding AI features, you’re already behind.

In this episode, I talk with Ken Gavranovic, a tech exec who’s been building with AI since before most people could spell LLM. Ken shares how agents (aka “digital employees”) are quietly becoming the next big service you should offer—and why relying solely on platform tools like Salesforce’s Agent Assist will cost you deals, not win them.

We dive into the difference between LLMs and agents, how to package AI advisory work for clients, and the mindset shift SaaS Consulting Partners must make to stay relevant and profitable in 2025.

About Ken Gavranovic

Ken Gavranovic is a seasoned technology executive, global keynote speaker, and member of Thinkers50 and the Forbes Council, renowned for helping brick-and-mortar businesses leverage AI and advanced technologies for immediate, impactful results. With over three decades of experience, Ken has collaborated with top venture firms, guiding over 18 successful exits, 35 mergers and acquisitions, and one IPO. Ken’s expertise spans iconic brands like Disney World and 7-Eleven, where he implemented technology solutions that improved customer engagement and operational efficiency.

Resources and Links


  continue reading

317 episodes

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