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 4 Sept 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Unverifiable entries are unpublished, not softened — takedowns land on the register's own ledger.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 customer348/348
- Primary source348/348
- Quantified outcome337/348
348 published entriesOpen the register
348published use cases, each linked to its source
28industries 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+39entries added
This month+348entries added
Cultivating the Perfect Lawn for 2.3 Million Customers
TruGreen migrated to the Databricks Data + AI Platform, using Databricks SQL on Azure for its data warehouse, Unity Catalog for governance, Lakeflow Spark Declarative Pipelines to stream data from Dynamics 365, and Qlik Replicate for legacy ERP integration. It built TruSight, an AI-powered reporting solution delivering daily insights to 200+ branch and regional managers before crews start work at 7 AM, evaluated against ChatGPT and multiple Microsoft Copilot variants before selecting Databricks for accuracy, cost, and control over context and LLM choice. TruGreen deployed Claude Sonnet 4.5 via Databricks Model Serving (External Models), using MLflow's LLM judges to evaluate AI output quality, and has churn and lifetime-value machine learning models in production. Databricks SQL cut data warehousing costs by roughly 50%, and automated data lineage in Unity Catalog reduced ERP impact analysis from weeks to minutes (a 99% improvement).
96/100High6 of 7 signalsPrimary source on recordAdded
TruGreenAgent Bricks · Databricks SQL · Spark Declarative Pipelines +4Skyscanner Scales Smarter Travel Search with the Databricks Data + AI Platform
Skyscanner, which handles 35 million searches and tens of billions of events daily, built bronze, silver and gold data layers on the Databricks Data + AI Platform to create shared Cornerstone Data Products powering multiple use cases, including a flight ranking model serving 180 million predictions daily. Unity Catalog provides governance, and the company is adopting emerging agentic AI capabilities to experiment safely and surface more relevant search results for travelers.
96/100High6 of 7 signalsPrimary source on recordAdded
SkyscannerUnity CatalogTransforming Weather Forecasting with Lakeflow Jobs
AccuWeather migrated from on-premises infrastructure to Databricks and Lakeflow Jobs, working with Datadog for observability, to unify diverse weather data formats and orchestrate 4,500+ weekly jobs. Lakeflow Jobs coordinates the ingestion of multiple weather models, triggers machine learning processes that weight and blend different forecasts, and manages complex job dependencies for reinforcement training workflows used in AccuWeather's proprietary forecasting engine. AccuWeather reports 3x faster dataset development (three months to one month per dataset), a 50% reduction in unactionable alerts, and 50% cost savings on serverless job usage.
92/100High5 of 7 signalsPrimary source on recordAdded
AccuWeatherLakeflow Jobs · Delta Sharing · DatadognCino Powers Compliant, Domain-Driven Banking AI With Databricks and AWS
nCino combines 13 years of banking data and trillions of dollars in loan history on Databricks running within a single AWS ecosystem, aiming to reduce complexity and strengthen compliance control over sensitive financial information. Unity Catalog governs data access while AI/BI Genie democratizes insights for executives, analysts and relationship managers, supporting domain-driven AI solutions for banking that the company says generic models cannot replicate.
96/100High6 of 7 signalsPrimary source on recordAdded
nCinoUnity Catalog · AI/BI GenieTransforming Data Pipelines to Power Faster Credit Decisions
Capital One's data and engineering teams built a centralized Feature Hub on Databricks, using Photon as the compute engine and Delta Lake as the foundation, to serve as a single environment for historical and operational feature pipelines supporting its credit line increase program and credit decisioning models. The hub curates records across millions of accounts to provide a unified customer view for both modeling and daily decisioning. Capital One reports 60x faster compute performance for large-scale backfills and an 80% decrease in time and cost per job after migrating production pipelines to Databricks, shortening feature development and deployment from prior timelines to weeks.
92/100High5 of 7 signalsPrimary source on recordAdded
Capital OnePhoton · Delta LakeCoverage by sector
Where the register is deepest today. Every count is the live published set, nothing projected.
Financial Services50
Manufacturing29
Technology & Software26
Automotive25
Retail23
Healthcare22
Government & Public Sector21
Energy18
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.
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.