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Azure Communication Services Advanced Messaging empowers developers to create essential workflows for incoming messages within Azure Communication Services using event triggers. These triggers can initiate actions rooted in tailored business logic. With the integration of our AI-driven event trigger, developers are equipped to analyze and gain insights from inbound messages to enhance a customer self-service approach and utilize AI analysis to bolster customer support. Content analysis is streamlined using Azure OpenAI Services, which also supports a variety of AI model preferences.
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In addition, there is no need for developers and businesses to handle credentials themselves. When linking your Azure AI services, managed identities are utilized to access resources owned by you.
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Azure Communication Services Advanced Messaging empowers developers to create essential workflows for incoming messages within Azure Communication Services using event triggers. These triggers can initiate actions rooted in tailored business logic. Developers can analyze and gain insights from inbound messages to enhance customer service experience. With the integration of our AI-driven event trigger, Developers can utilize AI analysis to bolster customer support. Content analysis is streamlined using Azure OpenAI Services, which also supports various AI model preferences.
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In addition, there's no need for developers and businesses to handle credentials themselves. When linking your Azure AI services, managed identities are utilized to access resources owned by you.
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Developers can also leverage managed identities to authenticate with any service that accepts Microsoft Entra authentication.
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Integrating Azure Open AI endpoints into your application's messaging framework can be accomplished effortlessly, enabling the Message Analysis functionality in Azure Portal. By enabling the feature, supplying Azure Open AI with the appropriate endpoint, and selecting the preferred model, we empower developers to meet their needs and scale effectively. This efficient method allows for meeting analytical objectives without the need to invest considerable time and effort into developing and maintaining a custom AI solution for interpreting message content.
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Developers can also use managed identities to authenticate with any service that accepts Microsoft Entra authentication.
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Integrating Azure OpenAI endpoints into your application's messaging framework can be accomplished effortlessly by enabling the Message Analysis functionality in Azure portal in your communication service resources. When enabling the feature, you're going to configure a Azure OpenAI endpoint, and selecting the preferred model. This efficient method empower developers to meet their needs and scale effectively for meeting analytical objectives without the need to invest considerable time and effort into developing and maintaining a custom AI solution for interpreting message content.
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> [!NOTE]
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> This integration is supported in limited regions for Azure AI services, for more information about which regions are supported please view the limitations section at the bottom of this document. This integration only supports Multi-service Cognitive Service resource, we recommend if you're creating a new Azure AI Service resource you create a Multi-service Cognitive Service resource or when you're connecting an existing resource confirm that it is a Multi-service Cognitive Service resource.
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## Common Scenarios for Message Analysis
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By integrating the Azure OpenAI you are delivering dfferentiated customer experiences and modernize the internal processes. Some of the key usecases that you can incorporate in your applications are
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Developers are now able to deliver differentiated customer experiences and modernize the internal processes by easily integrating the Azure OpenAI to the message flow. Some of the key usecases that you can incorporate in your applications are listed below.
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### Language Detection
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Identifies the language of the message, provides confidence scores, and translate the message into English if the original message is not in English
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Identifies the language of the message, provides confidence scores, and translate the message into English if the original message isn't in English
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### Intent Recognition
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Analyzes the message to determine the customer’s purpose, such as seeking help or providing feedback.
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As a business, I can build automation on top of incoming WhatsApp messages.
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## Azure AI services regions supported
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This integration between Azure Communication Services and Azure AI services is only supported in the following regions:
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## Next steps
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- Learn about [Message Analysis](../quickstarts/advanced-messaging/whatsapp/message-analysis-with-azure-openai-quickstart)
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