AI case study

Streamlining call management and migration

by
AudioCodes
Context

AudioCodes uses Azure and Microsoft Copilot to enhance its managed services and accelerate the migration to Microsoft Teams Phone, reducing proof of concept setup from six to eight weeks to just one day. The integration of Copilot and AI-driven solutions streamlines operations, improves customer experiences, and enhances call handling through features like intelligent routing and automation.

Results

Reduces proof of concept setup time from six to eight weeks to one day.

Results not reported in the source
Published
January 8, 2024
Agent type
Customer Agents
AI provider
Microsoft
Models/tools
Not disclosed
ICE score
441
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.

Impact: Potential benefits to the business.

Confidence: Likelihood of achieving expected results.

Ease: Simplicity of implementation in terms of resources and time.

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
7
Confidence
7
Ease
9

13

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.

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.
...

Telecom Italia (TIM)

Telecommunications
Use case
Improving customer call handling
Context

Telecom Italia (TIM) implemented a Google-powered voice agent to address many customer calls.

Models/tools
No items found.
...
Explore industries

122

companies using

Customer Agents

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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.

Models/tools
...
4
Use case
Automated customer support tickets
Context

Kodif, a customer support automation platform, uses Anthropic's Claude via Amazon Bedrock to automate up to 90% of support tickets for clients. By integrating Claude 3.5 Sonnet, Kodif powers AI agents that handle complex workflows like refunds and cancellations, enhancing support efficiency and transforming customer support into a revenue source.

Models/tools
...
3
Use case
Scalable personalized customer support
Context

Assembled, a support operations platform, uses Anthropic's Claude models to power Assist, their AI agent and copilot, enhancing customer support by integrating AI and human efforts. They employ Claude for dynamic ticket categorization, intelligent routing between AI and human agents, real-time response generation, and analyzing issues to automatically route cases to the optimal handler—whether AI agent or human with specific expertise.

Models/tools
...
3
Explore agents

143

solutions powered by

Microsoft

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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.

Models/tools
...
4
Use case
Faster medical report generation
Context

Medigold Health, a UK occupational health provider, used Microsoft Azure OpenAI Service to automate medical report generation, reducing the time clinicians spend on paperwork. By integrating Azure OpenAI Service with Azure App Service, Azure Cosmos DB, and Azure SQL Database, they developed an AI application that generates reports from clinicians' consultation notes in about 15 seconds, allowing clinicians to focus more on patient care.

Models/tools
...
1
Use case
Faster writing of appeal letters
Context

Acentra Health developed MedScribe, a web app that uses Azure OpenAI Service to generate draft letters responding to healthcare service appeals.

Models/tools
...
1
Explore AI providers

10

AI use cases in

Middle East

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Use case
Faster content creation
Context

KMS Lighthouse, a global technology company specializing in organizational knowledge management solutions, integrated Azure OpenAI Service into their platform to assist companies with content creation. The AI helps content authors be more efficient by generating summaries, automatic responses, enhancing content in knowledge articles, and producing FAQs and answers.

Models/tools
...
1
Use case
Faster customer support
Context

Elcome uses Microsoft 365 Copilot to boost productivity and improve customer communications. Employees use Copilot to draft emails, summarise lengthy communications, translate messages, and take notes in Microsoft Teams. This helps them respond to customers faster and increases overall team productivity.

Models/tools
...
1
Use case
Improve employee efficiency
Context

Bader Sultan and Brothers Company, a Kuwaiti supplier of healthcare and hospital equipment, implemented Microsoft Copilot for Microsoft 365 to enhance employee productivity. Employees use Copilot to craft and review emails, create comparison documents for clients, and respond to customer requests more quickly, allowing them to focus on more important tasks.

Models/tools
...
1
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