Source-verified register · updated 19 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.

How we verify

Unverifiable entries are unpublished, not softened — takedowns land on the register's own ledger.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
GDPR · 21EU AI Act · 10HIPAA · 4DORA · 2FERPA · 2
100%of published entries carry a primary source
  • Named customer958/958
  • Primary source958/958
  • Quantified outcome901/958
958 published entriesOpen the register
958published use cases, each linked to its source
31industries covered, from healthcare to logistics
3deployment models recorded per entry, not guessed
EU AI ActGDPR
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.

All 958 entries
Last added
This week+58entries added
This month+376entries added
Government & Public SectorConversational AIUnknown

Stadtverwaltung Nürnberg pilots AI chatbots, an LLM completeness check for housing-benefit applications and document recognition for birth registers

The City of Nuremberg's digitalisation office reports on its AI pilots: a chatbot in the social and youth office (more than 10,000 users and over 25,000 messages from July to December 2024), an LLM assistant that checked 100 housing-benefit (Wohngeld) applications for missing evidence from August to December 2024, a pilot on intelligent document processing for birth registers (about 215,000 records from 1974 to 2007 are to be digitised; the system has been trained on over 200 documents since October 2024), and a feedback classification pilot that analysed about 3,500 records. The report states relief effects cannot yet be quantified.

92/100High5 of 7 signalsPrimary source on recordAdded
Stadt NürnbergChatGPT · Robotic Process Automation
Government & Public SectorGenerative AIUnknown

French Ministry of Justice deploys "Mon Assistant Justice", a sovereignly hosted generative AI assistant, to several thousand agents after a 2,500-agent trial

On 12 May 2026 the French Ministry of Justice began giving several thousand agents access to Mon Assistant Justice, an adaptation of the interministerial DINUM AI assistant for drafting, summarising, translation and ideation. It is hosted sovereignly in France and followed an experiment with 2,500 agents. The ministry is also developing Mon Assistant Pénal and Mon Assistant Civil with the Paris court of appeal, and plans an AI observatory.

92/100High5 of 7 signalsPrimary source on recordAdded
French Ministry of Justice· FranceAssistant IA interministériel (DINUM)
EnergyGenerative AIUnknown

Stadtwerke Pforzheim build Copilot agents for SAP purchase requests, press work and operating manuals, and test local open-source options

Stadtwerke Pforzheim (about 610 employees) run AI projects on Microsoft Copilot: a bot for creating SAP purchase requests, a press coach, agents for operating manuals across utility lines, OCR of meter reading cards, and a checklist bot in testing. Employees have created around 190 of their own agents, plus about ten centrally built ones. The company is checking open-source solutions that run locally, citing data sovereignty, governance and manageable infrastructure; its test environment is not enough for broader production.

92/100High5 of 7 signalsPrimary source on recordAdded
Stadtwerke PforzheimCopilot · SAP
Government & Public SectorRetrieval-Augmented GenerationUnknown

Stadt Bern proof of concept: open-source RAG chatbot on Llama-3.3-70B answers staff questions on legal documents

The Institute Public Sector Transformation at Bern University of Applied Sciences built a proof-of-concept chatbot for the City of Bern's resident services. It uses retrieval-augmented generation over a knowledge base of 296 documents with Streamlit, Haystack, Snowflake Arctic Embed 2.0, a reranker and Llama-3.3-70B-Instruct. It shows sources, supports follow-up questions, and all data can be processed on the city's own servers. Evaluated qualitatively by a lawyer and with automated metrics.

92/100High5 of 7 signalsPrimary source on recordAdded
Stadt Bern / Berner Fachhochschule (IPST)Streamlit · Haystack · Snowflake Arctic Embed 2.0 +2
Government & Public SectorConversational AIUnknown

Province of Bolzano builds the myCIVIS citizen portal with EMMA, a multilingual AI companion on Microsoft Copilot Studio and Foundry

The Province of Bolzano and its IT provider SIAG are building the myCIVIS portal, where citizens use voice, web or messaging to reach EMMA, a multilingual AI companion built with Microsoft Copilot Studio, with Microsoft Foundry for AI apps. An opt-out proactive feature lists services a citizen qualifies for, and complex cases go to human operators. The province also has 5,000 Microsoft 365 Copilot licences. The system was in beta, with launch planned for March.

92/100High5 of 7 signalsPrimary source on recordAdded
Province of Bolzano / SIAG· ItalyCopilot Studio · Microsoft Foundry · Microsoft Power Platform +1

Coverage by sector

Where the register is deepest today. Every count is the live published set, nothing projected.

All categories
Published entries by sectorentries
Financial Services140
Technology & Software119
Manufacturing84
Healthcare81
Retail79
Government & Public Sector67
Energy57
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.

Where the AI runs

On-premise, hybrid or public cloud — recorded per entry. The private-AI axis no hyperscaler directory keeps.

Which regulations apply

Every entry carries the frameworks that touch it, so a compliance conversation starts from a list instead of a blank page.

EU AI ActGDPRNIS2DORAISO 42001

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.

HighMediumLow

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.