AIĀ case study

Rapid, culturally-aware support

by
SK Telecom
Context

SK Telecom integrated Anthropic's Claude on the Amazon Bedrock platform to power both in-call assist and post-call processing solutions. They implemented a custom in-house RAG model combined with real-time document search and automated summarization, classification, and sentiment analysis to augment call center operations and support culturally nuanced customer interactions.

Results

34% increase in LLM response quality; 68% reduction in low-quality responses; performance improved from 3.3 to over 4.3

Results not reported in the source
Region
Asia
Published
February 28, 2025
Agent type
Customer Agents
AIĀ provider
Anthropic
Models/tools
Not disclosed
ICE score
448
The ICE framework in this database provides a quick way to assess the feasibility and potential impact of AI use cases, with higher scores signaling more actionable opportunities.
ā€
Impact: Potential benefits to the business.

ā€Confidence: Likelihood of achieving expected results.

ā€Ease: Simplicity of implementation in terms of resources and time.

ā€ICE Score: Calculated by multiplying the component scores.

Note:
Each score is AI-generated based on available data and should be viewed merely as a general guideline for deeper exploration of the use cases.
Impact
8
Confidence
8
Ease
7

17

AI use cases in

Telecommunications

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Vodafone Group

Telecommunications
Use case
Faster customer issue resolution
Context

Vodafone uses Azure OpenAI Service, Azure AI Foundry, Microsoft Copilot, and Azure AI Search to enhance their virtual assistant TOBi and develop SuperAgent to assist customer service agents. TOBi uses conversational AI to handle customer inquiries, while SuperAgent helps agents solve complex problems faster.

Wrtn Technologies

Telecommunications
Data Agents
Quick win
Use case
Scalable, compliant superapp
Context

Wrtn Technologies leveraged Microsoft's Azure OpenAI Service with its newest o1 models to power a localized AI superapp, integrating features such as intelligent search, conversational chat, and code generation into its platform. They implemented the solution by incorporating Azure AI Foundry and Azure AI Content Safety to ensure secure data residency and regulatory compliance, streamlining both consumer interactions and internal development workflows.

Bell Canada

Telecommunications
Use case
Optimizing contact center operations
Context

Bell Canada has built customizable contact center solutions for its business customers that offer AI-powered agents to address callers, and Agent Assist, which listens when a human agent is on, offering suggestions and sentiment analysis.

Models/tools
No items found.
...
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166

companies using

Customer Agents

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Use case
Automated customer support
Context

Tidio integrated Anthropicā€™s Claude model to develop their Lyro AI agent, automating customer support interactions across both live chat and email channels. They implemented a network of specialized AI agents for conversation rating, summarization, and a dynamic routing system that selects the optimal API between native Anthropic API and Google Cloud Vertex AI based on performance metrics, streamlining support workflows and enabling personalized product recommendations.

Models/tools
...
2
Use case
Rigid support workflows
Context

Zendesk integrated OpenAI's models to create adaptive AI service agents that autonomously manage customer conversations and execute resolution tasks. They implemented a multi-agent architecture featuring task identification, conversational RAG, procedure compilation, and procedure execution agents integrated with existing support workflows through API calls and natural language procedure definitions, while providing real-time chain-of-thought visibility. This solution transitions from traditional intent-based bots to a hybrid model of scripted and generative reasoning, streamlining customer service processes.

Models/tools
...
2
Use case
Faster finance/legal research
Context

Hebbia built Matrix, a multi-agent AI platform that orchestrates OpenAI models including o3ā€‘mini, o1, and GPTā€‘4o to automate complex financial and legal research tasks. The platform decomposes intricate queries into structured analytical steps and integrates modules like OCR, hallucination validation, and artifact generation to process complete documents, creating an infinite effective context window. This solution streamlines due diligence, contract review, and market research workflows, drastically reducing manual processing time.

Models/tools
...
3
Explore agents

97

solutions powered by

Anthropic

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Use case
Automated customer support
Context

Tidio integrated Anthropicā€™s Claude model to develop their Lyro AI agent, automating customer support interactions across both live chat and email channels. They implemented a network of specialized AI agents for conversation rating, summarization, and a dynamic routing system that selects the optimal API between native Anthropic API and Google Cloud Vertex AI based on performance metrics, streamlining support workflows and enabling personalized product recommendations.

Models/tools
...
2
Use case
Instant personalized support
Context

Chatbase integrated Anthropic's Claude into its multi-channel customer support platform to automate routine inquiries and deliver instant, personalized support across web chat, WhatsApp, Slack, and Instagram. They implemented the solution by embedding AI agents through APIs that integrate with business systems such as Stripe for order status checks and refund processing, while enabling customizable brand voice and multilingual communication with optional human oversight. This approach streamlined customer service workflows and provided advanced analytics to help teams quickly identify trends and optimize interactions.

Models/tools
...
1
Use case
Personalized student support
Context

Pensieve integrated Anthropic's Claude models (Claude 3.5 Sonnet and Claude 3.7 Sonnet) to build AI teaching assistants that automate grading and provide 24/7 personalized tutoring. The system clusters student submissions to calibrate grading rubrics and transforms static PDFs into interactive worksheets while enforcing instructor-controlled policies. This integration streamlines course management workflows and enhances realā€time classroom analytics.

Models/tools
...
2
Explore AIĀ providers

59

AIĀ use cases in

Asia

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Use case
Efficient data handling
Context

LY Corporation leveraged OpenAIā€™s API to integrate advanced generative AI into its flagship services, including a GPTā€‘4o-powered LINE AI Assistant and GPTā€‘4 enhancements in Yahoo! JAPAN Search for summarizing reviews and generating travel plans. They also deployed SeekAI, an in-house productivity tool using RAG to rapidly retrieve information from internal documentation, streamlining employee inquiries and operations.

Models/tools
...
2
Use case
AI integration on mobile
Context

OPPO integrated Google Cloudā€™s Vertex AI, AutoML, and Gemini large language model into its mobile devices to automate user feedback analysis, power AI Recording Summary features, and enable AI Toolbox functionalities such as AI Writer and AI Reply. They re-engineered their hardware platform, operating system, and third-party ecosystem to embed AI agents that optimize power consumption and reduce computing latency, streamlining mobile development workflows and enhancing user experience.

Models/tools
...
4
Use case
Simplified listing process
Context

Mercari integrated OpenAIā€™s API with a multi-model approach to optimize product listings. Initially, GPTā€‘4 analyzed top listings offline while GPTā€‘3.5 Turbo provided real-time suggestions for active listings. Later, they shifted to GPTā€‘4o mini to automatically generate complete titles, descriptions, and category suggestions from uploaded photos, streamlining the seller listing workflow.

Models/tools
...
1
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Thoughts &Ā ideas