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Your new favorite colleagues aren’t human

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Manage episode 504427625 series 3533896
Content provided by Team PolyAI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Team PolyAI 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.

Send us a text

We all know AI agents can answer calls (with varying success rates depending upon their sophistication). But what if AI agents could also help CX leaders analyze their deployments, ask questions about their unique challenges and opportunities, and continuously improve?

In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Damian Sasso, Group PM at PolyAI, to explore how the field is moving from solely customer-facing AI agents toward agentic AI teams that can do all of the above.

We cover:

  • Why MIT says 95% of AI pilots fail — and how to be in the successful 5%
  • The role of QA Agents in monitoring performance
  • How Analyst Agents like Smart Analyst surface business insights in real time
  • The promise of Builder Agents that drive continuous optimization
  • Why contact centers are shifting from call centers to command centers

If you want to understand how agentic AI is changing the landscape — one in which AI agents don’t just talk, but think, analyze, and build — this episode is for you.

👉 Subscribe today for more info about AI for CX.

  • Follow PolyAI on LinkedIn
  • Watch this and other episodes of the Deep Learning pod on YouTube
  continue reading

86 episodes

Artwork
iconShare
 
Manage episode 504427625 series 3533896
Content provided by Team PolyAI. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Team PolyAI 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.

Send us a text

We all know AI agents can answer calls (with varying success rates depending upon their sophistication). But what if AI agents could also help CX leaders analyze their deployments, ask questions about their unique challenges and opportunities, and continuously improve?

In this episode of Deep Learning with PolyAI, Nikola Mrkšić sits down with Damian Sasso, Group PM at PolyAI, to explore how the field is moving from solely customer-facing AI agents toward agentic AI teams that can do all of the above.

We cover:

  • Why MIT says 95% of AI pilots fail — and how to be in the successful 5%
  • The role of QA Agents in monitoring performance
  • How Analyst Agents like Smart Analyst surface business insights in real time
  • The promise of Builder Agents that drive continuous optimization
  • Why contact centers are shifting from call centers to command centers

If you want to understand how agentic AI is changing the landscape — one in which AI agents don’t just talk, but think, analyze, and build — this episode is for you.

👉 Subscribe today for more info about AI for CX.

  • Follow PolyAI on LinkedIn
  • Watch this and other episodes of the Deep Learning pod on YouTube
  continue reading

86 episodes

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