Partner Case Study | Valorem
Valorem Reply created a digital twin of Saint Peter’s Basilica using the power of Azure, making it accessible to anyone, anywhere with an internet connection and a device. A Jubilee, or Holy Year, is a special time of grace when the Catholic Church invites people to seek forgiveness and reconciliation. Traditionally, the faithful are encouraged to make a pilgrimage to Rome—but with over a billion Catholics worldwide, that can mean huge crowds at the Vatican’s holy sites, which risks damaging them and dangerous overcrowding. And, for many, traveling to Rome simply isn’t possible due to time or financial constraints. But what if people could experience Saint Peter's Basilica without ever setting foot in Rome? That was the challenge presented to Valorem Reply in 2025, which was a Jubilee year. "The Vatican recognized that there are two billion Catholics in this world, most of whom were not coming to the Jubilee. And they wanted to have a unique and immersive experience for the world and for the people who can't actually make it to the Basilica and walk through for themselves. Nothing like this had ever been done before," said Ryan McCamy, Lead, Tech for Social Impact at Valorem Reply. The Vatican sought to highlight Saint Peter's Basilica for the Jubilee by creating both an on-site exhibition and a global digital experience. The web experience offers several entry points: a historical storytelling section that traces the Basilica's origins and significance, a virtual tour covering 30–40 points of interest focused on art and architecture, and an interactive 3D model (the digital twin) built from 400,000 high-definition images captured by a partner vendor. Continue reading here Explore all case studies or submit your own Subscribe to case studies tag to follow all new case study posts. Don't forget to follow this blog to receive email notifications of new stories!Partner Case Study | Unboxed
Skill development in an era of rapid change and innovation is an urgent, complex challenge for enterprise leaders around the globe. As market pressures change the way businesses operate, employees are often expected to adapt quickly to new roles and expectations. At the same time, resources to upskill employees at speed and scale are scarce. Unboxed, a Microsoft partner based in Richmond, Virginia, has spent more than 16 years helping Fortune 500 companies meet that challenge. The team specializes in skill-based learning and development, with a focus on what they call “Skill Agility”™—the ability to build and apply new skills at the pace of business change. The Unboxed Skill Building Platform, built entirely on Microsoft Azure, integrates AI-powered roleplay, coaching, and compliance validation to deliver personalized, scalable training across distributed teams. “We exist to help companies build skills faster, smarter, and adapt quicker through skill agility,” said Dave Romero, President of Unboxed. The company’s tools and training are engineered to help their customers achieve thorough, rapid training in fast-moving environments, and their innovations have been a boon to pharmaceuticals, manufacturing, banking, and other businesses. Assessing the skilling needs of global enterprises Unboxed’s customers face a common set of challenges. Traditional training methods such as live meetings, peer roleplay, and static e-learning can be difficult for trainees to translate into real-world application. Employees are often hired, given a bit of training, and then begin working with customers, leading to unpredictable results. Coaching presents its own unique hurdles. While hands-on mentorship is widely recognized as a driver of performance, managers often lack the time or tools to deliver consistent, structured feedback. In industries like life sciences, coaching can mean spending an entire day shadowing a field rep and writing up a detailed report—a process that can be both exhausting and inefficient. “Writing those coaching reports takes a lot of time,” said Rebecca Nittolo, VP of Client Strategy and Innovation at Unboxed. “You have to think through how to say something, make sure it’s in the right format, and ensure it’s actionable. It’s challenging and very time-consuming.” In heavily regulated industries, accuracy in coaching and training is also paramount. Organizations must ensure that employees are delivering compliant messaging, especially in high-stakes conversations. And for a lot of Unboxed clients who operate globally across time zones, that scale can make it difficult to deliver consistent training and coaching. As organizations expand, they need tools that can support distributed teams without compromising quality or security. Continue reading here Explore all case studies or submit your own Subscribe to case studies tag to follow all new case study posts. Don't forget to follow this blog to receive email notifications of new stories!Partner Case Study | Cloudforce
As global threats evolve and national security challenges grow more complex, defense organizations are mobilizing to deliver faster insights, adapt to emerging technologies, and maintain the highest standards of data protection. In that effort, AI is reshaping how agencies respond to crises, model future risks, and support decision-making. Deploying AI securely in high-compliance environments remains a challenge. Nonprofit organization CNA, a federally funded research and development center and analysis organization, supports the safety and security of the United States through its two main divisions: the Center for Naval Analyses and the Institute for Public Research. With more than 700 scientists, analysts, and professional staff, CNA works across classified and unclassified domains to deliver insights for agencies including the US Navy, Department of Homeland Security (DHS), FEMA, and Health and Human Services (HHS). With so much data to interpret and so much at stake, CNA sought a way to safely and securely accelerate their insights with the power of AI and large language models (LLMs). Not just any solution would work. They needed a trusted partner to help them implement models that prioritized the protection of such sensitive data. They turned to Cloudforce, a Microsoft partner with deep expertise in Microsoft Azure and a track record of enabling high-compliance environments. Cloudforce helps customers build scalable, secure solutions that meet the most stringent federal standards—making them the perfect partner to help CNA. A mission-critical need for compliant, creative AI Research and analysis at CNA spans some of the most sensitive domains in government, from maritime warfare and autonomous systems to disaster response and law enforcement. With many of the agencies they serve asking for an increasing number of reports to tackle these real-world challenges, CNA saw the potential to use emerging LLM technology to rapidly scour their vast datasets and generate insights. However, given their mandate to protect information within strict compliance frameworks, using public LLMs was out of the question. “We wanted a partner to help us to deploy an LLM that is secure and compliant so that it can handle our internal data,” said Gregor Goodman, Chief Technology Officer at CNA. “We needed to balance innovation with security to take advantage of cutting-edge tools in the analysis that we’re providing.” Microsoft referred CNA to Cloudforce, and the partnership was fast, powerful, and collaborative from the start. Together, the companies explored a plan to develop proprietary LLMs and agents that were easy for analysts to use and could securely deploy CNA’s data in creative ways. “Working with Cloudforce has been phenomenal,” said Rizwan Jan, Chief Information Officer at CNA. “I look at them as not just an extension of the CNA team. They're friends now. They're trusted .... If we have a question, they bring out the entire crew to help us.” Continue reading here Explore all case studies or submit your own Subscribe to case studies tag to follow all new case study posts. Don't forget to follow this blog to receive email notifications of new stories!Partner Case Study | RSM
More than 80% of the global workforce says they lack the time or energy to do their jobs. RSM, a global audit, tax, and consulting services firm, saw this as an opportunity to redefine productivity by demonstrating what it looks like for organizations to embrace AI—first for themselves, and then for their customers. With a focus on serving mid-sized and growing companies, RSM is a Microsoft Solutions Partner certified across the full Microsoft Cloud and AI platform, delivering deep specialization and cross-industry reach. In 2026, RSM will celebrate their 100th anniversary—a milestone they’re marking with a firmwide focus on embracing generative AI at scale. As part of a $1 billion, five-year investment in AI and digital transformation, RSM is reshaping how their professionals work, learn, and collaborate. At the center of this transformation are Microsoft 365 Copilot and Modern Work, seamlessly integrated with Microsoft Cloud technologies including Azure, Microsoft Dynamics 365, Power Platform, Copilot Studio, Azure AI Foundry, Microsoft Fabric, and Dataverse. A cornerstone of this transformation is RSM’s decision to act as its own Customer Zero by embracing Copilot as both a work assistant and a catalyst for change. By building internal credibility and fluency first, the firm is learning from within and applying those lessons to help clients navigate similar shifts. That internal-first approach is more than just tactical—it reflects a broader cultural transformation that’s already underway. A century-old firm an AI-forward mindset As RSM leaned into the Customer Zero strategy, they quickly recognized that internal technical change needed to be matched by cultural change—one that empowered employees not just to use new technology, but also to explore, experiment, and adapt with confidence. “Frontiers need pioneers—and we need to encourage and empower that pioneering spirit,” said Kristin Lewis, Enterprise Marketing Lead for Microsoft at RSM. “I think that comes from the top.” Rather than deploying pilot AI tools in isolated use cases, RSM made a deliberate decision to commit to broad internal adoption of Microsoft 365 Copilot across the firm. To support this momentum, RSM developed enablement efforts––including Microsoft certifications, peer learning cohorts, and storytelling platforms––to reinforce AI fluency as part of everyday work. “There's a large cultural shift at RSM as we're creating a place where employees can feel safe learning and upskilling in the AI era,” said Lewis. "Most importantly, people are really collaborating cross functionally to level up.” Continue reading here Explore all case studies or submit your own Subscribe to case studies tag to follow all new case study posts. Don't forget to follow this blog to receive email notifications of new stories!Partner Case Study | University of Chicago
The University of Chicago (UChicago) is one of the nation’s most prestigious research institutions, serving more than 35,000 students, faculty, and staff. As interest in generative AI surged across campus, the university faced a challenge familiar to many: third-party tools were being used without institutional oversight, creating security, privacy, and governance risks. To address this, the university partnered with Royal Cyber—recognized for secure, enterprise-grade AI platforms for higher education. Working closely with Microsoft and UChicago’s IT Services team, Royal Cyber helped design and deploy PhoenixAI—a secure, scalable generative AI assistant powered entirely by Azure. Advancing progress without slowing momentum Faculty and students wanted access to generative AI. But without a centralized solution, the university risked both fragmented adoption and shadow IT usage. Unapproved tools lacked basic data protection and compliance controls, which put institutional data at risk. Royal Cyber worked with the university to co-develop a framework that met security and governance standards while preserving flexibility for academic exploration. The goal: deliver an institutionally managed AI solution built on trusted Azure infrastructure, deployable before the semester’s start, customizable by department or course, and capable of serving tens of thousands of users without adding operational overhead. PhoenixAI was built entirely on Azure using a modular, container-based architecture designed for performance, observability, and scalability. The system architecture was deployed fully within UChicago’s Azure tenant, ensuring that the university retained ownership of its data, infrastructure, and access policies. PhoenixAI integrates a wide array of Azure technologies to deliver secure, scalable performance, including: Azure OpenAI Service: Powers the generative assistant with GPT-4.1, GPT-5, and GPT-o3 models.Azure AI Foundry: Supports modular agent orchestration and retrieval-augmented generation (RAG) using Azure Agents API.Azure Cosmos DB: Stores chat history, logs, and structured and unstructured user session data.Azure App Service and Azure Container Apps: Provide scalable, secure deployment of frontend and backend services.Azure Functions App: Automates event processing and tracks token usage in real time.Azure API Management: Creates secure access gateways for researchers, faculty, and custom agents.Azure Monitor and Log Analytics: Deliver real-time diagnostics, usage metrics, and system insights.Microsoft identity platform: Integrates with UChicago’s single sign-on (SSO) and role-based access controls to ensure secure authentication and fine-grained permissions. Additional Azure tools, including Azure Key Vault and Azure Application Gateway, manage certificate security, traffic routing, and endpoint access. Continue reading here Explore all case studies or submit your own Subscribe to case studies tag to follow all new case study posts. Don't forget to follow this blog to receive email notifications of new stories!Partner Case Study | Tiger Analytics
In every industry, preventing equipment downtime and maintaining operational continuity is a top priority. Preventive maintenance—making rounds, doing routine maintenance, and logging data—has long been a manual, tedious process, but with recent advances in AI, predicting and preventing failures and downtime is becoming more manageable than ever before. Tiger Analytics is a solutions integrator and Microsoft partner that implements AI-powered solutions. The organization has all three Solutions Partner designations for Azure, as well as three specializations: AI Platform on Microsoft Azure (formerly AI and Machine Learning on Microsoft Azure), Build AI Apps on Microsoft Azure, and Analytics on Microsoft Azure. They believe in using AI to transform operations for customers across industries. Their commitment to using AI to develop smart solutions empowered them to help a medical device company develop a predictive maintenance solution for their radiation therapy devices. Continue reading here Explore all case studies or submit your own Subscribe to case studies tag to follow all new case study posts. Don't forget to follow this blog to receive email notifications of new stories!Partner Case Study | CloudFronts
In manufacturing, precision is paramount. Machine quality, specification, and the accuracy of results is critical. That’s always been the case. What’s newer in the manufacturing world is the precision required from the systems that support operations. Manufacturers today are under pressure to deliver seamless customer experiences, whether through e-commerce or service operations, while also maintaining efficiency across global supply chains. Yet many still rely on aging integration frameworks or siloed systems that make it difficult to meet modern expectations. To keep up with the rapid pace of innovation and increased demands, many manufacturers rely on a partner to help them modernize operations, and one key ally for organizations in this space today is CloudFronts. As a Solutions Partner specializing in Microsoft Dynamics 365, CloudFronts supports a broad spectrum of industries, including manufacturing, by integrating and scaling business-critical systems with Azure, Power BI, and other Microsoft solutions. This expertise made them an appealing partner when Tinius Olsen, a long-established materials testing manufacturer, wanted to modernize multiple aspects of their digital infrastructure—and do so cost-effectively. The companies had partnered before when CloudFronts upgraded Tinius Olsen’s ERP in 2015. Now, they embarked on a digital transformation journey together to streamline integrations, improve efficiency, and open new opportunities for innovation. A digital modernization doubleheader With more than 140 years of history, Tinius Olsen has long been known for precision-engineered testing solutions used in a wide range of industries. But like many established manufacturers, Tinius Olsen faced technology challenges. As customer expectations shifted toward faster digital experiences and their internal IT landscape grew more complex, Tinius Olsen needed to modernize its technology backbone. Continue reading here Explore all case studies or submit your own Subscribe to case studies tag to follow all new case study posts. Don't forget to follow this blog to receive email notifications of new stories!Partner Case Study | EHC Consulting uses Azure to power a healthcare cloud migration
Around the world, healthcare organizations are trying to modernize their infrastructure and reduce capital costs, especially when it comes to hosting and maintaining their electronic health record (EHR) systems. For many, the traditional on-premises model has become unsustainable, requiring frequent hardware refreshes and limiting flexibility. At the same time, the shift toward cloud-native care delivery and AI-powered analytics is accelerating, creating urgency for modernization without sacrificing control. For healthcare companies looking to capitalize on this opportunity, a knowledgeable partner can be invaluable in a digital transformation—and EHC Consulting is helping them navigate that path. A Microsoft Solutions Partner with deep expertise in cloud architecture and healthcare modernization, EHC specializes in guiding complex migrations for large-scale providers. With their knack for solving difficult infrastructure challenges with creativity and precision, EHC is a natural fit for an industry like healthcare, where security and minimal disruption are paramount. When Community Health Network looked to upgrade their aging on-premises Epic environment, they turned to EHC to lead a strategic, first-of-its-kind migration to Microsoft Azure. Aging infrastructure and high costs prompt a bold shift Based in Indianapolis, Community is one of Indiana’s largest nonprofit health providers, with more than 200 sites of care. Like many large providers, Community uses Epic, an EHR platform, to manage patient data, clinical workflows, and hospital operations. Epic is central to the organization’s care delivery, and its performance directly impacts clinicians and patients across the network. Historically, Community hosted Epic on-premises. But as the environment aged, the cost and complexity of maintaining it grew. A major refresh of the hardware could have cost them up to $9 million. With this looming on the horizon, leadership saw an opportunity to modernize. Rather than reinvest in legacy systems, Community wanted to shift Epic to a cloud-native model that would support long-term growth. And they had other ambitious plans that required upgrading their digital foundation—like launching a $300 million cloud-native hospital. Such a migration posed several challenges, though. Community had considered hosting Epic in the cloud before, but they dismissed the idea due to high costs and the potential loss of operational control. Community needed a solution that would preserve ownership of their Epic environment while improving performance and scalability. EHC was up to the challenge. Given Community's existing five-year Microsoft Azure cloud consumption commitments, EHC saw an opportunity to not only save Community money but also to migrate their infrastructure within Epic into a cloud-native Azure space, securely modernizing Community’s most mission-critical workloads and giving them full operational control. It had never been done before, but together, EHC and Community executed a bold game plan. Continue reading herePartner Case Study | Tiger Analytics
Organizations need to adopt more flexible, scalable, and cost-effective solutions to keep up with the evolving landscape of data analytics. Traditional on-premises systems, while robust and reliable, often face limitations in handling the increasing volume and velocity of data. To thrive, organizations must modernize their critical applications, replacing legacy systems with cloud-native solutions that offer better scalability, fault tolerance, and security. Microsoft partner Tiger Analytics is at the forefront of this modernization process. The organization has all three Solutions Partner designations for Azure, as well as three specializations: AI Platform on Microsoft Azure (formerly AI and Machine Learning on Microsoft Azure), Build AI Apps on Microsoft Azure, and Analytics on Microsoft Azure. Tiger Analytics used their expertise to execute a digital transformation for a leading global intimates and sleepwear retailer’s analytics ecosystem, delivering a seamless migration from the on-premises model to Azure and Snowflake. Over a period of 10 months, the intimates retailer was able to transition out of legacy on-premises systems with a 100% success rate on all workloads—and significantly reduced costs along the way. The framework Tiger Analytics used to execute this migration can be tweaked for any organization based on their priorities, processes, and current ecosystem. Collaborating for a smooth migration The global intimates and sleepwear retailer is on a mission to build a modern ecosystem that will improve customer experience and enhance productivity. The company adopted Microsoft Azure in 2022 and migrated their enterprise data from Teradata to Snowflake in 2023. With the right foundation in place, the retailer seized the opportunity to build a modern data platform and shed the legacy technology debt. The retailer collaborated with Tiger Analytics to implement a well-structured, phased migration strategy to ensure a smooth transition of analytical and reporting workloads. The objective of this exercise was not only to refactor the code to a new platform, but also to introduce best practices and efficiencies to improve current processes—all while minimizing effort and costs. For Tiger Analytics, the first step in the migration strategy was a comprehensive workload prioritization and business impact analysis. This process involved collaboration with business stakeholders, IT, and the data science team to thoroughly understand the current landscape. Their top considerations were the number of scripts per module, need for automation, module dependencies, impact on daily tasks, and complexity of implementation. Continue reading here Explore all case studies or submit your own Subscribe to case studies tag to follow all new case study posts. Don't forget to follow this blog to receive email notifications of new stories!Partner Case Study | Nissan Philippines
Buying a car is a big moment for everyone. Not only are there financial considerations, but also emotional ones, shaped by aspirations, lifestyle, and trust in the brand. For automakers to meet customers at this moment, they must do more than just showcase vehicles. They have to anticipate needs, personalize the buying journey, and provide a seamless experience from browsing to ownership. The challenge, however, lies in the complexity of automotive retail. From managing vast networks to integrating after-sales services, spare parts, and warranty claims, dealers must orchestrate an enormous volume of data and operations. Too often, this information sits in silos, limiting visibility across the customer journey and slowing decision-making. In a competitive and digital-first market, that friction can mean missed opportunities to connect with customers. Dealers need a streamlined, unified view into their operations to make smarter, faster decisions—which is the specialty of Technosoft Automotive. With decades of experience and a global presence, their Technosoft Yana Automotive Solution (TAS, or Yana) is designed to provide dealers the holistic view they need by integrating employee resource planning (ERP), customer resource management (CRM), and digital marketing, empowering dealers to deliver smarter, faster, and more personalized customer experiences. This expertise and capability was exactly what Nissan Philippines needed to transform their dealer and distributor ecosystem. And Technosoft Automotive was ready to take on the challenge. Unifying data sprawl across 58 dealerships Nissan Philippines oversees a network of 58 dealerships across the islands, importing vehicles from Japan and Thailand for distribution to local markets. But as the company’s sales base grew, its legacy IT systems struggled to keep pace. Individual dealerships operated on disparate systems, making it difficult to generate consistent, cross-sectional analysis of customer and supply chain data. “There were two systems in place: a vehicle sales system and a parts sales system,” said Kensuke Okino, ASEAN IS/IT Head at Nissan Motor (Thailand) Co., Ltd. “From an IT perspective, the systems were outdated, which resulted in high costs and very low operational and maintenance efficiency.” In addition to the maintenance costs, this fragmented setup created inefficiencies across dealer operations and limited Nissan’s ability to approach customers with data-driven insights. Meanwhile, siloed processes meant that customer experiences varied by dealer, undermining Nissan’s ability to deliver the consistent, premium service it wanted to be known for. Recognizing that modernizing their IT infrastructure was essential to both operational efficiency and customer engagement, Nissan Philippines began looking for a solution. They needed a trusted partner with deep automotive expertise and the ability to execute large-scale transformations. Technosoft Automotive was the right partner for the job. “Technosoft Automotive has a proven track record with consultants who understand the local language and are familiar with local business practices,” said Okino. “[TAS] is developed based on Microsoft products and is an IT platform that can manage OEMs, dealers, and vehicle owners end-to-end. TAS is highly customizable and flexible, with mobile solutions available for a wide range of business processes. Functionality expansions such as AI and automation can also be accommodated by in-house IT development. For these reasons, TAS was ultimately selected.” Continue reading here Explore all case studies or submit your own Subscribe to case studies tag to follow all new case study posts. Don't forget to follow this blog to receive email notifications of new stories!
