Audi

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Audi has 7 source-linked AI deployments documented in AIUseCaseHub, across 3 industries and 3 countries. Key partners include Storm Reply, Accenture, Nvidia.

Use Cases

7

Industries

3

Countries

3

Hyperscaler mix

See whether Audi's cases are powered by Microsoft, AWS, GCP, or multiple providers.

How Audi builds AI

Build / Buy / Compose across this company's documented cases

BuildBuyComposeMixed

5 of 7 cases classified (71%) · Compare all use-case types

Use case portfolio

Use case types at Audi

AI platform leads with 1 of 7 documented cases; 7 distinct types appear across the visible portfolio.

Reported outcomes

2 cases report measurable results

−63%

Cost savings

median · 1 metric

−99%

Time & speed

median · 1 metric

Medians of results published in Audi cases, normalized for comparability. See all benchmarks →

Evidence persistence

4 of 4 judgeable cases are still publicly referenced · 4 show the organization expanding AI use.

Durability of public evidence, not whether systems remain in production. How this is measured →

Technology snapshot

What Audi uses across visible cases

AI Agents appears in 4 of 7 indexed cases; 27 named technologies are mentioned, led by Amazon Bedrock.

All Use Cases (7)

Audi AG Transforms Digital Infrastructure and Customer Engagement with AWS Generative AI

Audi AG migrated its car configurator backend to AWS using Amazon EKS, Karpenter, and AWS Lambda to improve scalability and reduce costs.Developed a serverless e-commerce platform on AWS Lambda enabling rapid online vehicle reservations during COVID-19, reducing costs by 70%.Deployed generative AI chatbots powered by Amazon Bedrock to enhance internal knowledge retrieval and customer engagement.Solutions enabled faster innovation, reduced compute costs by up to 63%, and improved time-to-market from months to weeks for digital services globally.

Automotive

AWS Intelligent Document Processing Uses Generative AI for Automated Document Workflows

AWS Intelligent Document Processing (IDP) offers generative AI-powered automation to process unstructured data such as documents, audio, video, and images.The challenge is the high cost, slow speed, and error rates of manual document processing workflows in industries like insurance, legal, mortgage, and public sector.IDP leverages Amazon Textract for OCR, Amazon Comprehend for NLP, and Amazon Bedrock for generative AI to extract, classify, analyze, redact sensitive data, and summarize information at scale to improve operational efficiency.Audi uses AWS IDP to automate document workflows, enhancing accuracy and speed in procurement processes.

Insurance
Vision

Audi & Storm Reply: GenAI multi-agent devbot for cloud security, cost optimization, and IaC on Amazon Bedrock

AUDI AG, in partnership with Storm Reply, built a production-ready generative AI devbot for its Cloud Foundation Services team.The solution supports internal cloud management by helping with security findings remediation, cost optimization analysis, validated infrastructure-as-code building block retrieval, and AWS architecture guidance.It uses a serverless multi-agent architecture with Amazon Bedrock, Bedrock Knowledge Bases, Bedrock Guardrails, AWS Security Hub, AWS Cost Explorer, Amazon OpenSearch Service, AWS Lambda, Amazon S3, and AWS Well-Architected guidance.

Automotive
AgentMulti-agentRAG
Microsoft

Automotive Leaders Drive Transformation with AI-Powered Mobility Solutions

The automotive and mobility sector is undergoing significant transformation, leveraging Microsoft Azure, AI, and agentic AI solutions for software-defined vehicles, autonomous driving, product lifecycle management (PLM) migration, digital cockpit experiences, and customer-centric innovation.Microsoft provides a comprehensive reference architecture for mobility, supporting software engineering, ADAS/AD pipelines, and customer experience digitalization.Automotive companies such as Mercedes-Benz, Audi, Toyota, Bosch, NVIDIA, and others implement cloud-based and AI-driven technologies to optimize R&D, manufacturing, customer engagement, and overall operational efficiency.Detailed AI-driven reference architectures, including PLM on Azure and digital testbeds for autonomous vehicle development, accelerate time to market and innovation.Data and AI unify vehicle and asset data across platforms, enabling actionable insights for connected mobility, smart operations, and enhanced customer journeys.Mobility Agents and AI copilots are used by brands such as CarMax, Porsche, Volvo, BMW, Nissan, and KPIT, automating customer interactions and after-sales services for better satisfaction and productivity.AI-powered solutions extend to airlines and airports, with American Airlines, Lufthansa, and Miami International Airport leveraging reference architectures for operational efficiency and passenger journey optimization.

AutomotiveGlobal
AgentMulti-agentCopilot
Microsoft

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

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.

AgentMulti-agentRAG

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