Partner Case study | TD SYNNEX
As a global Microsoft distributor, TD SYNNEX equips Cloud Solution Provider (CSP) partners and resellers with the tools, programs, and expertise they need to deliver solutions to market. TD SYNNEX has found that the shift to AI has sharpened customers' need not for another point product, but a practical path to adoption that’s secure, cost-aware, and repeatable. In a channel where devices, cloud, and security are often sold in silos, TD SYNNEX focuses on the connective tissue—helping partners position Microsoft as an ecosystem. The organization works across hardware and cloud motions, using Microsoft AI Cloud Partner Program offerings and partner resources to turn guidance into action through training environments, packaged enablement, and hands-on experiences that partners can take directly to their customers. That matters because many CSP resellers aren’t starting from scratch. They’re facing a Windows refresh cycle, juggling budgets, and trying to understand what “AI-ready” actually means for their environment—from endpoint capabilities to identity and security controls. TD SYNNEX helps partners translate that complexity into an offer that makes sense: modernize endpoints, secure the foundation, and adopt Microsoft AI with confidence. Partners face fragmented adoption—devices, cloud, and security aren’t connected For many CSP resellers, the challenge starts upstream when customers express strong interest in AI before they’re truly ready to adopt it. Hardware refreshes happen without a clear understanding of cloud or security implications, while cloud services are purchased without accounting for endpoint requirements, leaving partners to reconcile disconnected decisions into a workable, secure AI foundation. 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 | DeepJudge
Legal work depends on precision, precedent, and the ability to apply institutional knowledge across diverse matters. For many firms, that knowledge is documented but not always easy to access or act on. DeepJudge, a Microsoft partner, is helping legal teams bridge that gap with AI-powered search and workflow tools built on Microsoft Azure. DeepJudge specializes in enterprise search and agentic AI workflows tailored for legal professionals. DeepJudge participated in Microsoft for Startups and the Pegasus Program, a selective initiative that helps high-potential partners scale through technical guidance, go-to-market support, and early access to Microsoft innovations. Today, the company’s platform is built on Microsoft Azure—including Azure OpenAI Services, Azure Kubernetes Service, and Microsoft Defender for Cloud—to promote high performance and robust data protection. Making internal knowledge accessible—and secure CMS Switzerland, a full-service law firm with more than 160 employees and a legacy spanning over 80 years, offers tailored legal solutions for businesses, investors, and private individuals. Known for its deep legal expertise and cross-border capabilities, CMS Switzerland built a strong foundation of internal knowledge—contracts, case files, templates, presentations, and precedent documents—stored across various systems and folders. While this information was historically well maintained, it wasn’t always easy for lawyers to locate and apply it consistently across cases. “Clients hire law firms for their expertise—but law firms often underestimate their breadth and depth of existing knowledge and experience,” said Stefan Brunnschweiler, Managing Partner at CMS Switzerland. The firm wanted to better surface and apply its internal expertise across teams—without disrupting existing workflows or compromising on data protection. The goal was to institutionalize internal know-how so that all employees could access and apply it confidently in their daily work. Security was a critical consideration. As part of CMS, one of the largest international law firms with over 7,200 lawyers in 92 offices across 50 countries, CMS Switzerland needed a solution that could meet strict data protection requirements while offering the flexibility and performance of modern AI tools. “Data security is our top priority,” Brunnschweiler emphasized. “The fact that Microsoft hosts our data in Switzerland and that DeepJudge, through Microsoft, also ensures high data protection convinced us.” CMS Switzerland began exploring options that could help surface internal knowledge more efficiently, reduce time spent on manual research, and support faster onboarding of new employees. The firm was looking for a solution that could meet the highest standards for security, reliability, and usability—while also aligning with the operational realities of legal work. 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 | EPAM
What does it take to move from AI experimentation to enterprise-wide scale? For EPAM, the answer emerged from a year of foundational work—helping customers fix data estates, aligning stakeholders, and building repeatable engineering practices. As a Microsoft Global Systems Integrator (GSI), EPAM supports customers preparing for scalable adoption, with a focus on agentic AI and production-grade deployments. The company’s long-standing partnership with Microsoft includes 17 specializations across AI, app innovation, and data, as well as designations across all Microsoft solution areas. And the company is invested in internal enablement, deploying Microsoft 365 Copilot to more than 2,000 employees and reducing external collaboration hours by 20%. Together, their well-established credentials and internal enablement efforts position EPAM to deliver high-value engagements and accelerate innovation for enterprise customers. This expertise, partnership, and proven ability to deliver value is part of what earned EPAM the 2025 Innovate with Azure AI Platform Partner of the Year Award. Their partnership with Albert Heijn, a leading grocery retailer in the Netherlands, was an example of this award-winning work. That deployment was just one part of a broader posture as the team focuses on helping customers reimagine business processes with AI—moving beyond pilots and into production. A year of experimentation, not scale For many organizations, 2025 was a year of experimentation with generative AI—but not yet scale. EPAM saw customers across industries testing new capabilities, often in isolated pilots. “A lot of companies tried,” said Dmitry Tikhomirov, Vice President, Technology Solutions at EPAM. “Some of them failed, and very few scaled generative AI to production.” EPAM identified two key barriers to broader adoption. The first was data readiness. Many organizations lacked the infrastructure to support enterprise-grade AI. “It’s very hard to scale AI if your data is not ready for that,” Tikhomirov explained. “Building out data platforms and moving your data closer to AI models—modernizing and simplifying data—was a big trend.” The second challenge was organizational alignment. In many cases, AI initiatives were driven by technical teams without full buy-in from business stakeholders. “If you just patch part of a process with AI, you’re not necessarily accelerating the entire process,” said Tikhomirov. “Your return on investment is less tangible, in such cases.” EPAM spent the year helping customers address these foundational gaps. That included fixing data estates, navigating compliance, and aligning internal teams around shared goals. 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 | Cognizant
Cognizant, a 2025 Microsoft Partner of the Year award winner and global services company, is redefining enterprise transformation across industries. By democratizing AI and embedding intelligent automation, Cognizant helps organizations modernize systems, reduce costs, and accelerate growth. Their unique approach—combining deep Microsoft expertise, strategic change management, and a culture of innovation—delivers measurable results, including millions in savings, productivity boosts, and record-setting employee engagement. Organizations across industries face mounting technical debt, fragmented legacy systems, and the urgent need to consolidate onto modern, scalable platforms. Three Cognizant clients—one in healthcare, one in financial services, and one in retail—faced similar pressures. Regulatory compliance and governance added further complexity, especially in healthcare and finance. Cognizant’s clients needed a forward-looking technology roadmap to streamline operations, unlock data-driven insights, and support automation for better employee and customer experiences. Cognizant’s approach: Empowerment through Microsoft intelligent automation Using Microsoft Power Platform, Copilot agents, and robust governance frameworks, Cognizant delivers solutions that are secure, scalable, and tailored to each client’s needs. Ongoing training, upskilling, and community-building ensure sustained adoption and a strong digital culture. An essential part of that digital culture is Cognizant’s belief that innovation with AI should be accessible to employees at every level—not just technical teams. “At Cognizant, intelligent automation is more than a technology capability—it’s a strategic enabler for business transformation,” said Chakradhar Gooty Agraharam, Global Intelligent Automation Leader at Cognizant. “By combining Microsoft Power Platform, Microsoft Dynamics 365, and Copilot innovations with our deep industry expertise, we help clients accelerate automation at scale, unlock new efficiencies, and deliver measurable outcomes. Our partnership with Microsoft empowers us to lead with innovation, speed, and precision—driving hyper automation strategies that redefine what’s possible for enterprises worldwide.” For their healthcare, financial services, and retail engagements, Cognizant selected solutions that met each client's immediate needs while supporting long-term scalability. They implemented strong governance frameworks—using the Microsoft Power Platform Center of Excellence Starter Kit alongside their own methodologies—to maintain regulatory compliance and secure operations. By empowering clients to adopt Microsoft intelligent automation tools, including Copilot agents, Microsoft Power Automate, and Power Platform, Cognizant helped their clients streamline processes, unlock insights, and enhance both employee and customer experiences. 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 | Insight
As organizations and leaders race to embrace the potential of AI, sometimes, the hardest part of the transformation isn’t choosing the right technology—it’s getting people to use it. Employees may hesitate to modify established workflows, feel resistant to new technology, or simply not know how or where to start. This can stall even the most ambitious AI strategies. Insight Enterprises—a Fortune 500 solutions integrator and longtime Microsoft partner—deeply understands this challenge. The company helps clients modernize their operations and embrace innovative technologies to accelerate growth. Their expertise and close partnerships with customers has earned them global recognition, and they were named a 2024 Microsoft Americas AI and Copilot Innovation Partner of the Year. As a trusted advisor to thousands of organizations, Insight knew they needed to lead by example. While the company was helping clients accelerate their AI journeys, they also wanted to accelerate their own internal AI adoption. To accomplish that goal, Insight launched Flight Academy, a gamified program designed to make AI usage practical, measurable, and rewarding for every teammate. Leading from within to stay on the frontier of AI innovation Insight has built their reputation by supporting AI adoption, modernization, and future-readiness for organizations around the world. But they wanted to apply that same philosophy internally, setting the standard for the AI innovation they bring to customers. To remain on the frontier of AI innovation, they committed to becoming an AI-first organization. That meant empowering 16,000 teammates worldwide to embrace AI tools and integrate them into daily workflows. “We think of each of our teammates as this force multiplier, this little snowball on top of a mountain,” said Stan Lequin, CTO, AI Transformation at Insight. “If we give it a push from an AI perspective, what kind of momentum and force of nature could we create with 16,000 snowballs, fully AI-enabled, rolling down the hill?” To realize that vision and become an AI-first organization, Insight wanted every teammate to feel confident using AI tools, not just for isolated tasks but as an integral part of daily work. “We had really good conversations with our teammates that AI is just going to make them more powerful,” said Lequin. “They shouldn’t fear it; they should embrace it.” Initially, AI adoption remained lower than the team hoped. But they quickly came up with an idea that changed the AI landscape, inspiring employees to adopt AI and experiment with solutions at a fast and ambitious rate. They built an environment where AI curiosity was encouraged, success was celebrated, and use cases were visible across the business. Essentially, they gamified AI adoption, incentivizing AI use through light competition and rewards—and in the process, they turned initial interest into sustained engagement. 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 | TTEC Digital
All travelers know the frustration of a canceled or delayed flight. No airline is immune to inclement weather, gate shortages, and other travel disruptions. What truly sets an airline apart is how effortlessly its customer service turns disruption into reassurance. TTEC Digital, 2025 Microsoft Dynamics 365 Service Partner of the Year, is helping a leading global airline upgrade its customer support and create standout experiences when travelers need it most: around the clock. As an award-winning Microsoft Solutions Partner, global customer experience (CX) innovator TTEC Digital leverages AI in solution architecture and implementation methodology to reduce complexity, drive operational excellence, and streamline customer experiences. With over 1,400 Microsoft certifications and decades of success, TTEC Digital can deploy, integrate, and optimize these technologies to maximize cloud and AI investments. The company’s Microsoft practice focuses on AI Business Solutions and Cloud & AI Platforms, including Microsoft Azure, Copilot, Dynamics 365, and Power Platform. By leveraging partner certifications and programs like Copilot + Power and Azure Accelerate within Microsoft Commerce Incentives (MCI), they help clients modernize customer connections, optimize service operations, and achieve measurable business value. TTEC Digital’s strategic use of presales and post-sales funding to drive customer success serves as a striking differentiator in the market. Additionally, TTEC Digital offers managed services (SurroundCX™) and IP innovations to help their clients continuously evolve their customer experience ecosystems. Beyond traditional tiered support and break/fix support models, TTEC Digital provides real-time monitoring across multiple clouds, hosting management services, and CX innovation services—a unique offering focused on ongoing AI advancement. CX innovation services keep clients’ platforms optimized while introducing enhanced capabilities such as conversational AI, speech-to-text analytics, knowledge engineering, and custom large language models. "We've been creating elevated, exceptional experiences for more than 30 years, and those experiences often come to life in the contact center because that is where your brand hits your customer," said Leah Quartano, VP of Digital Sales at TTEC Digital. 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 | HRIZONS EX
Employee surveys have become a cornerstone of modern workforce strategy, offering organizations a direct line to employee sentiment and a powerful lever for change. But collecting feedback is only the beginning. The real challenge—and opportunity—lies in helping managers take meaningful action on that feedback to improve team dynamics, drive performance, and shape culture. HRIZONS EX, a Microsoft Solutions Partner, is perfectly suited to address that gap. When Microsoft transitioned away from first-party services for the employee survey solution Microsoft Viva Glint, HRIZONS EX became one of the first authorized consultancies to support customers through the shift. Staffed by longtime experts in Viva Glint, the team specializes in helping organizations move beyond survey deployment to strategic activation. “So many people are doing surveys,” said Patrick Gallen, Director of Innovation at HRIZONS EX. “But so many of them fail to connect employee sentiment and experience to the organization’s bottom line––to its goals and objectives.” Their consulting-as-a-service model provides ongoing strategic support metered to an organization’s unique needs rather than a one-size-fits-all, one-time implementation—which made them an ideal fit for a leading global skin care company. Continue reading herePartner Case Study | Mead Johnson Nutrition
In the race to innovate, global enterprises aren’t usually held back by a lack of ideas but rather by the friction hidden in their data. Legacy SAP systems, siloed data storage environments, and inconsistent data structures can quietly slow operations, including reporting, forecasting, compliance, and even cutting-edge AI adoption. This friction can be especially acute in the retail life sciences and consumer health sectors, where any new products must adhere to strict standards of safety and scientific rigor, all at an enterprise scale. In these data-intensive environments, the stakes are high, and the pressure to innovate safely and without business disruption is even higher. Healthcare and consumer health organizations need a partner who can help them move fast while respecting the boundaries, systems, and regulations that keep them compliant. In other words, they need a partner with the speed and precision of a tiger—and Tiger Analytics is true to their namesake. Founded in 2011, Tiger Analytics is an innovator in AI and data science consulting with a team of more than 6,200. A Microsoft partner with specializations in Analytics and AI and Machine Learning, the team helps enterprises around the world modernize complex data ecosystems at scale so they can harness insights for real-world innovation. With deep experience in SAP, data engineering, and Azure cloud services, they’ve built a reputation for solving high-stakes data challenges with clarity and speed. And it was these capabilities that made Tiger Analytics an ideal option when global pediatric nutrition leader Mead Johnson Nutrition (MJN) decided to transform their digital operations and lay the foundation for faster, more efficient, and scalable enterprise AI. Modernizing data architecture to fuel smarter innovation With more than a century of experience developing science-based formulas for infants and children, MJN serves millions of families in highly regulated markets across North America, Asia, and Latin America. The scale of their operation makes any digital transformation a significant undertaking. So when they initiated a major effort to modernize their enterprise resource planning—which included migrating from SAP ECC to SAP S/4HANA—there was some inherent risk involved. The switch disrupted the existing data replication layer that fed analytics and reporting systems across the enterprise. To maintain business continuity, MJN needed to rapidly rebuild and enhance this layer. MJN already had an established partnership with Tiger Analytics, having worked with them on various data engineering initiatives. MJN brought Tiger Analytics in again to help design, build, and operationalize the new replication layer, enabling seamless data flow from the upgraded S/4HANA system to MJN’s analytics platform. MJN outlined three key strategic goals they needed the solution to support: Real-time replication from S/4HANA into the DnA Delta Lakehouse for advanced analytics, AI and machine learning use cases, and enterprise-wide reporting. Clean and secure nutrition data delivery from SAP S/4 to the Global EDAP team, which manages centralized analytics and data processing across business units. A smooth, timely transition to ensure business teams retained access to business-critical SAP tables. With MJN's goals clearly articulated and the partnership already well established, Tiger Analytics was ready to get to work. 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 | Heathrow Scientific
Heathrow Scientific, an innovative manufacturer and distributor of laboratory equipment, wanted to transform its finance and purchasing operations by migrating from its on-premises reporting system to a cloud-based solution. The company collaborated with Microsoft partner Western Computer to consolidate financial and business data in Dynamics 365 Business Central, incorporating the visualization tools of Power BI to track key performance metrics. Heathrow’s digital transformation is powering a boost in employee efficiency, including a 20% reduction in order processing times. It has improved the company’s overall security posture and resilience, allowing it to adapt to evolving customer needs. 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 | Prescan
Today, preventive healthcare plays an increasingly important role in helping people live longer, healthier lives. But as demand grows, clinics and providers face a difficult challenge: how to scale and coordinate their services while tracking complex data like patient and financial information, scheduling, and clinical outcomes. These are often recorded in different systems, and stitching them together into a single source of truth is no small feat. All too often, healthcare providers are held back by limited access to reliable, real-time insights. In sectors where precision and trust are everything, organizations need a partner who understands the nuances of regulated, data-heavy environments. With more than 30 years of experience developing business-critical IT solutions, Conclusion specializes in building bespoke, data-driven applications for sectors where reliability, auditability, and security are nonnegotiable. As a Microsoft partner for more than a decade, Conclusion’s deep expertise in cloud migration, semantic modeling, and data intelligence makes them a trusted advisor for organizations across Europe in healthcare, logistics, government, and beyond. When Prescan, a market leader in preventive medical diagnostics in the Netherlands, wanted to build a future-proof data platform, Conclusion was the logical partner to help make it happen. Prescan’s growing demand for intelligent insights Since 2003, Prescan has pioneered preventive health diagnostics, giving individuals and corporate clients early insights into their health. With multiple clinics and offices, the company guides patients through every step of the journey, from orientation and preparation to the day of examination and into aftercare. Their mission is to empower people with early insights into their health through high-quality, accessible medical examinations. While their mission is straightforward, their operations are complex. Prescan used a number of systems to manage business operations and stages of the patient journey. These systems operated largely in silos, making it difficult to combine information into a clear, unified picture of business performance and patient journeys. Prescan saw an opportunity to take their operations to the next level. By connecting insights into performance, capacity, and patient flows, they could move beyond siloed views and gain holistic insights to guide strategy, accelerate decision-making, and simplify planning. Recognizing the need for a unified, secure, intelligent data environment—and knowing that they needed it quickly—Prescan turned to Conclusion for their engineering expertise and experience delivering critical Azure-based data solutions. 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!
