What challenges did Audi face before AI implementation?

Increasing employee demands for rapid access to accurate information while maintaining low support overhead and high security. Need to scale support services efficiently without adding manual processes or operational burden.

What was the impact of the AI solution?

Audi improved employee self-service and reduced operational workload for HR and IT departments. Response times to employee queries accelerated significantly. Established a foundation for enterprise-wide expansion of AI assistants in multiple departments. Enabled trustworthy, secure AI deployments accelerating innovation at scale.

Source

Microsoft

Audi Deploys AI Assistants Using Azure AI Foundry to Enhance Enterprise Support Automation

Use case typeStudent supportUpdated Jun 13, 2026

Audi AG addressed rising employee demand for faster access to information without increasing support overhead or compromising security by deploying AI-powered assistants. Using Microsoft Azure AI Foundry, Azure App Service, Azure Cosmos DB, Azure OpenAI, and Microsoft Viva Engage, Audi developed a secure and scalable enterprise AI framework. In just two weeks, Audi launched its first AI-powered Smart Assistant for HR, providing real-time, accurate responses to employee queries, and subsequently expanded to IT support with additional chatbots. The solution integrates Azure AI Search and Azure OpenAI with a retrieval-augmented generation approach to retrieve and generate precise answers from internal data sources.

Organization: Audi
Industry: Manufacturing
Location: Germany

Reported outcomes

Strategic outcomes

Customer experience & trustImproved employee self-serviceSpeed & agilityAccelerated employee query responsesScale & capacityCreated foundation for enterprise-wide assistant expansionRisk & complianceEnabled secure, compliant AI deployments

Primary read

Use case focus

Showing 3 of 3

1AI-powered assistant
2Employee self-service
3Enterprise automation

Increasing employee demands for rapid access to accurate information while maintaining low support overhead and high security.
Need to scale support services efficiently without adding manual processes or operational burden.

Audi utilized Azure AI Foundry to create a customizable, secure, and scalable architecture for AI assistants.
An integrated Azure stack including Azure App Service for managed infrastructure and security, Azure Cosmos DB as a backend datastore, and Azure OpenAI for natural language generation enabled fast, compliant deployment.
Chatbots use Azure AI Search with a RAG (retrieval-augmented generation) approach to provide real-time answers from corporate data such as SharePoint and Yammer via Microsoft Viva Engage connectors.
Security tools like Microsoft Defender for Cloud and Azure Key Vault ensured data protection and compliance.

Technologies

Azure AI Foundry Azure App Service Azure Cosmos DB Azure OpenAI Microsoft Viva Engage

Audi improved employee self-service and reduced operational workload for HR and IT departments.
Response times to employee queries accelerated significantly.
Established a foundation for enterprise-wide expansion of AI assistants in multiple departments.
Enabled trustworthy, secure AI deployments accelerating innovation at scale.

Architecture

The architecture features an integrated Azure stack with Azure AI Foundry providing infrastructure code, back-end orchestration, and a front end for chatbot deployment. Azure App Service handles managed hosting with authentication, telemetry, and compliance monitoring. Azure Cosmos DB stores data, supported by Microsoft Viva Engage connectors to sync content from Yammer. Azure AI Search and Azure OpenAI power the retrieval-augmented generation logic for precise natural language responses. Security is enforced via Microsoft Defender for Cloud and Azure Key Vault.

Sources & evidence1

Groundedness: 4/5

Primary source

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