Artwork

Content provided by Chad Oda. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chad Oda 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://player.fm/legal.
Player FM - Podcast App
Go offline with the Player FM app!

How BPOs Should Prioritize Call Center AI Solutions

35:55
 
Share
 

Manage episode 427976708 series 3585274
Content provided by Chad Oda. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chad Oda 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://player.fm/legal.

In today’s competitive business landscape, Business Process Outsourcers (BPO) running offshore call centers are under increasing pressure to deliver exceptional customer service while keeping costs under control. The good news? Artificial Intelligence (AI) is rapidly transforming the call center landscape, offering a powerful solution to these challenges. But with a variety of AI solutions available, how should BPOs prioritize their investments?

We recently interviewed Ofer Ronen, the Founder and CEO of Tomato.ai, and asked him this very question. Before raising $12.1M for Tomato.ai, Ofer successfully sold two start-ups to Google, and one to IAC. He also played a pivotal role in pioneering Google Contact Center AI, where he helped transform some of the largest call centers with AI, including a couple of Fortune 20 companies, driving over $500M in bookings.

Ofer’s Crawl, Walk, Run Approach to AI Implementation

BPOs shouldn’t rush into implementing the most complex AI solutions first. A strategic “crawl, walk, run” approach is key.


Crawl
Begin with quick wins that deliver immediate value. Call summarization and voice augmentation are excellent starting points, as they improve efficiency and customer experience without a major overhaul.

Walk Once initial solutions are established, move on to AI-powered agent assist. This empowers agents and elevates the quality of their interactions.


Run
Finally, consider implementing virtual agents for basic inquiries, allowing human agents to focus on complex issues and relationship building.

This phased approach ensures a smooth integration of AI while maximizing its benefits.

  continue reading

7 episodes

Artwork
iconShare
 
Manage episode 427976708 series 3585274
Content provided by Chad Oda. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Chad Oda 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://player.fm/legal.

In today’s competitive business landscape, Business Process Outsourcers (BPO) running offshore call centers are under increasing pressure to deliver exceptional customer service while keeping costs under control. The good news? Artificial Intelligence (AI) is rapidly transforming the call center landscape, offering a powerful solution to these challenges. But with a variety of AI solutions available, how should BPOs prioritize their investments?

We recently interviewed Ofer Ronen, the Founder and CEO of Tomato.ai, and asked him this very question. Before raising $12.1M for Tomato.ai, Ofer successfully sold two start-ups to Google, and one to IAC. He also played a pivotal role in pioneering Google Contact Center AI, where he helped transform some of the largest call centers with AI, including a couple of Fortune 20 companies, driving over $500M in bookings.

Ofer’s Crawl, Walk, Run Approach to AI Implementation

BPOs shouldn’t rush into implementing the most complex AI solutions first. A strategic “crawl, walk, run” approach is key.


Crawl
Begin with quick wins that deliver immediate value. Call summarization and voice augmentation are excellent starting points, as they improve efficiency and customer experience without a major overhaul.

Walk Once initial solutions are established, move on to AI-powered agent assist. This empowers agents and elevates the quality of their interactions.


Run
Finally, consider implementing virtual agents for basic inquiries, allowing human agents to focus on complex issues and relationship building.

This phased approach ensures a smooth integration of AI while maximizing its benefits.

  continue reading

7 episodes

All episodes

×
 
Loading …

Welcome to Player FM!

Player FM is scanning the web for high-quality podcasts for you to enjoy right now. It's the best podcast app and works on Android, iPhone, and the web. Signup to sync subscriptions across devices.

 

Quick Reference Guide