Where the AI runs
On-premise, hybrid or public cloud — recorded per entry. The private-AI axis no hyperscaler directory keeps.
Source-verified register · updated 31 Oct 2026
Proven Use Case Library for Enterprise AI.
Every entry records where the AI actually runs, which regulations touch it, and the source behind the claim — with every figure checked against that source before it publishes.
Unverifiable entries are unpublished, not softened — takedowns land on the register's own ledger.
Register signalslive
Where the AI runs
Regulations tagged in the register
100%of published entries carry a primary source
- Named customer1004/1004
- Primary source1004/1004
- Quantified outcome947/1004
1004 published entriesOpen the register
1004published use cases, each linked to its source
31industries covered, from healthcare to logistics
3deployment models recorded per entry, not guessed
tagged per entry, alongside NIS2, DORA and ISO 42001
Latest additions
The newest entries on the register. Each links to the source behind its claims.
Last added
This week+25entries added
This month+238entries added
Belfius adds Mistral Large generative AI to its multilingual customer chatbot
Belfius, a Northern European digital bank, moved from a purely scripted bot platform to a generative AI chatbot built on Mistral Large, available in Dutch, French and English. Mistral supported its guard-railing strategy with expert support and testing datasets. The stated goals were higher customer satisfaction, better efficiency and less manual workload for operators; the page gives no figures.
92/100High5 of 7 signalsPrimary source on recordAdded
BelfiusMistral Large
Coresystems InsightLoop uses Amazon Bedrock to give Rolls-Royce Power Systems technicians access to data
Coresystems' InsightLoop uses generative AI on Amazon Bedrock to help Rolls-Royce Power Systems technicians, who struggled to access data across multiple systems, find the information they need. Coresystems' CEO says Bedrock lets it keep data secure while using the latest large language models. The page gives no quantified results.
96/100High6 of 7 signalsPrimary source on recordAdded
Coresystems / Rolls-Royce Power SystemsAmazon Bedrock
Volkswagen Group uses AI on its AWS-based Digital Production Platform across factories
Volkswagen and AWS extend their collaboration on the Digital Production Platform (DPP), a 'factory cloud' used to deploy AI and IT systems across production sites; 43 sites are connected. The source describes AI use cases including KI4UPS for assembly-line software deployment, computer vision for quality control built with Amazon SageMaker, and AI-based electricity optimization at the Poznań plant, where energy costs are stated to have fallen by 12 percent. The Group is stated to use more than 1,200 AI applications.
96/100High6 of 7 signalsPrimary source on recordAdded
Volkswagen GroupAmazon SageMakerBMW 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%.
96/100High6 of 7 signalsPrimary source on recordAdded
BMW Group· GermanyAmazon Bedrock · Amazon Bedrock Knowledge Bases · Amazon OpenSearch Serverless +4European multi-line insurer co-develops generative AI solutions with Capgemini, including a travel insurance RAG chatbot with 91% accuracy
A European multi-line insurer worked with Capgemini across several business entities on a generative AI roadmap and solutions: multilingual meeting transcription and summarization (12x reduction in manual effort in that area), a RAG chatbot for ESG report analysis (with a comparative study of Mistral AI and GPT-4), and a RAG-based travel insurance chatbot that reached 91% accuracy in customer query responses with live agent validation.
88/100High4 of 7 signalsPrimary source on recordAdded
European multi-line insurer (unnamed, Capgemini client)
Coverage by sector
Where the register is deepest today. Every count is the live published set, nothing projected.
Financial Services143
Technology & Software127
Healthcare92
Manufacturing86
Retail79
Government & Public Sector76
Energy58
Media & Entertainment51
Published entries only.
What a hyperscaler directory will not tell you
Four fields we record on every entry. They are the reason a European buyer can shortlist from this register instead of starting a research project.
Which regulations apply
Every entry carries the frameworks that touch it, so a compliance conversation starts from a list instead of a blank page.
How strong the evidence is
Every entry carries a computed 0–100 score in which each point is a named signal on the record. High evidence is unreachable without a primary source and a named customer, and low-evidence entries are hidden until you ask for them.
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Checked against the source
Every checkable claim is tested against the fetched source, and one unsupported figure fails the whole entry. Nothing publishes on a template, and anything whose source later contradicts it comes down rather than getting softened.
Source-verifiedPublish gate: a passing verification, still matching the entry's content
Shortlist from evidence, not from vendor decks.
Free to browse. Filter by sector, capability and deployment model, and open the source behind any claim.