One agreed set of numbers, connected systems, and AI built on a foundation that can be trusted.
We have not published a story in this slot yet. Microsoft has no case study covering this industry and capability combination that we could source and verify, and we would rather leave the space visibly empty than fill it with something we cannot stand behind. It will be filled by a JJC Systems engagement once a client approves the reference.
A large member-owned credit union — United States
A substantial data footprint was spread across more than fifteen disparate sources, which made personalised member experience impossible and slowed every business decision that depended on analysis.
Working with a Microsoft partner, data from all sources was centralised into a lakehouse on Microsoft Azure, becoming a single analytics platform for the institution.
A major metropolitan city government — Canada
Citizens looking for accurate information had to navigate roughly forty thousand web pages. Frontline staff absorbed the resulting calls, and the answers were not always consistent.
An AI assistant built with Copilot Studio was deployed over the city's own published content, letting citizens ask questions in natural language and get accurate answers directly.
A specialist pipe manufacturer — Europe
Demand forecasting was reactive rather than forward-looking. The planning horizon was short, business units planned separately, and external storage costs reflected imprecise purchasing.
The manufacturer was among the first to adopt demand planning in Dynamics 365 Supply Chain Management, built on Power Platform, taking a low-code approach to demand modelling.
Tell us the process that is causing the most friction right now. We will show you how the same platforms have been applied elsewhere, what it would take in your environment, and what we would measure.
Describe the situation in your own words.
