Agents struggled to retrieve info during 3.5m monthly calls. Now, AI transcribes and prompts them with answers instantly.
A Korean telecommunications leader operates one of the country's largest customer service centers, employing 4,000 agents to handle 3.5 million calls per month.
Agents struggled with slow response times and difficulty retrieving relevant information during live calls. The existing relational database...
“Traditional call centers often struggle with inefficiencies, from slow response times to difficulty retrieving relevant information. Agent Assist addresses these challenges with real-time transcription, automatic categorization of customer inquiries, and intelligent contextual summaries, ensuring smoother interactions between agents and customers.”
LG U+'s Customer service agent support is part of this use case:
Mobile network operator, broadband, and IPTV service provider in South Korea.
Multi-cloud developer data platform for building and scaling applications.
Related implementations across industries and use cases
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Nuanced queries stalled bots; manual searches slowed agents. Now, AI executes fixes and guides diagnostics with 90% correctness.
Manual sales audits cost $26/hour. AI speech analysis cut costs to $2, saving 35,000 annual work hours.
One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
Reps manually calculated variances across three systems. AI now compares statements in seconds, spotting fee changes instantly.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.
Agents struggled to retrieve info during 3.5m monthly calls. Now, AI transcribes and prompts them with answers instantly.
A Korean telecommunications leader operates one of the country's largest customer service centers, employing 4,000 agents to handle 3.5 million calls per month.
Agents struggled with slow response times and difficulty retrieving relevant information during live calls. The existing relational database...
“Traditional call centers often struggle with inefficiencies, from slow response times to difficulty retrieving relevant information. Agent Assist addresses these challenges with real-time transcription, automatic categorization of customer inquiries, and intelligent contextual summaries, ensuring smoother interactions between agents and customers.”
LG U+'s Customer service agent support is part of this use case:
Mobile network operator, broadband, and IPTV service provider in South Korea.
Multi-cloud developer data platform for building and scaling applications.
Related implementations across industries and use cases
Reps lost time hunting across complex systems. Now, AI agents surface verified answers and automate notes, freeing humans to connect.
Single-turn bots couldn't manage complex daily routines. Now, specialized AI agents break down and orchestrate multistep user schedules.
Nuanced queries stalled bots; manual searches slowed agents. Now, AI executes fixes and guides diagnostics with 90% correctness.
Manual sales audits cost $26/hour. AI speech analysis cut costs to $2, saving 35,000 annual work hours.
One-hour videos took 20 minutes to transcribe. A new inference engine processes them in 15 seconds.
Reps manually calculated variances across three systems. AI now compares statements in seconds, spotting fee changes instantly.
Manual fine-tuning held back deployment. Automated optimization cut inference time 63% and agent routine work by over 50%.
Inboxes overflowed with tracking and sizing queries. An AI now locates orders and asks player height to size gloves instantly.
Specs scattered in PDFs meant fixes took weeks. Now, autonomous agents access unified data to resolve over 25% of cases instantly.