BMW Group builds CLEAI, a generative AI assistant for cloud cost optimization on AWS
BMW Group's FinOps Center of Excellence, with AWS Professional Services, built CLEAI, a generative AI assistant inside its CLEA cloud cost tool. Users ask in natural language about cloud costs and metadata, get optimization recommendations drawn from AWS documentation and BMW's internal FinOps knowledge base (RAG with Amazon Bedrock Knowledge Bases), and get generated Terraform, CLI and Python code. The source states it supports more than five thousand users and speeds up analysis and implementation by up to 50%.
Overview
BMW Group's FinOps Center of Excellence, with AWS Professional Services, built CLEAI, a generative AI assistant inside its CLEA cloud cost tool. Users ask in natural language about cloud costs and metadata, get optimization recommendations drawn from AWS documentation and BMW's internal FinOps knowledge base (RAG with Amazon Bedrock Knowledge Bases), and get generated Terraform, CLI and Python code. The source states it supports more than five thousand users and speeds up analysis and implementation by up to 50%.
This entry has 15 published fields tied to exact passages in an immutable source capture.
Inspect the highlighted sourceThe challenge
BMW Group's cloud environment grew from 4,500 AWS accounts in 2023 to over 10,000 in 2025. Navigating complex cloud environments to understand costs and resource usage can be a significant bottleneck.
The solution
BMW Group's FinOps Center of Excellence partnered with AWS Professional Services to build CLEAI, a generative AI assistant integrated into its CLEA cloud cost tool. It uses several specialized LLM chains (API, conversational, clarify and retrieval) behind an intent classifier. The retrieval chain runs RAG on an Amazon Bedrock Knowledge Bases setup with Amazon OpenSearch Serverless as vector store, populated with AWS best practices and BMW Group internal information. Users ask in natural language and also get generated Terraform, CLI commands and Python scripts.
Reported business value
The source states CLEAI supports more than five thousand BMW Group users and accelerates analysis and implementation of cloud infrastructure optimization by up to 50%.
Sources
Open any source and check the claim yourself — that is the point of the register.
This record was researched and written with AI assistance, and its claims were checked against the sources above. (EU AI Act art. 50 transparency notice.)
Other automotive entries in the register.
Volvo Trucks uses proprietary AI models to power adaptive maintenance in its Blue Service Contract
Volvo Trucks North America upgraded its Blue Service Contract to offer optimized service stops based on fuel consumption, idle time and oil samples, powered by the OEM's proprietary AI models, enabling fewer stops for 2023 model year and newer trucks and reducing operating costs for customers.
BMW Group builds plant-scale digital twins with NVIDIA Omniverse, cutting vehicle aerodynamics simulation time 30x
BMW Group is building digital twins of its production facilities using NVIDIA Omniverse libraries, letting global production planning teams collaborate in real time, optimize the layout and design of complex manufacturing systems, and develop autonomous robot and vision AI applications prior to real-world deployment. Working with Siemens, BMW is also accelerating simulation of vehicle aerodynamics: tests on NVIDIA Grace Blackwell and CUDA-X-accelerated Simcenter Star-CCM+ software showed a 30x speedup for transient aerodynamics simulations of entire vehicle geometries, while reducing energy consumption and costs.
BERESA Group's sovereign AI voicebot on STACKIT reaches a 30% appointment booking rate against a 25% benchmark
BERESA Group's digital arm auto dm worked with STACKIT and Schwarz Digits to build an AI voicebot for after-sales appointment booking (wheel and tire changes) that went live in March 2025 and accesses BERESA's knowledge database. The source reports a 30% appointment booking rate against a 25% benchmark, upselling rates of 35-95% on add-on products, and 24/7 availability.
European automotive marketer uses AI to target engaged customers and lifts open rates 50%
A regional automotive marketing organization covering more than 30 European countries used Oracle Unity and Oracle Marketing with AI to identify which email messages and digital touchpoints are likely to engage customers based on profile and behavior. The organization runs more than 120 always-on automated campaigns, seeing a 50% increase in email open rates, a 230% increase in lead submissions, and a 5% increase in order uptake.
Was this helpful?
Your feedback helps us improve our use case database
