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 19 Oct 2026
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Unverifiable entries are unpublished, not softened — takedowns land on the register's own ledger.
The newest entries on the register. Each links to the source behind its claims.
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.
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.
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.
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.
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.
Where the register is deepest today. Every count is the live published set, nothing projected.
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.
On-premise, hybrid or public cloud — recorded per entry. The private-AI axis no hyperscaler directory keeps.
Every entry carries the frameworks that touch it, so a compliance conversation starts from a list instead of a blank page.
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.
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.
Free to browse. Filter by sector, capability and deployment model, and open the source behind any claim.