List of Microsoft Azure OpenAI Service Customers
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Since 2010, our global team of researchers has been studying Microsoft Azure OpenAI Service customers around the world, aggregating massive amounts of data points that form the basis of our forecast assumptions and perhaps the rise and fall of certain vendors and their products on a quarterly basis.
Each quarter our research team identifies companies that have purchased Microsoft Azure OpenAI Service for Generative AI Platforms from public (Press Releases, Customer References, Testimonials, Case Studies and Success Stories) and proprietary sources, including the customer size, industry, location, implementation status, partner involvement, LOB Key Stakeholders and related IT decision-makers contact details.
Companies using Microsoft Azure OpenAI Service for Generative AI Platforms include: Cushman & Wakefield, a United States based Construction and Real Estate organisation with 52000 employees and revenues of $9.40 billion, Mercy, a United States based Healthcare organisation with 45005 employees and revenues of $8.00 billion, Guardian Childcare & Education, a Australia based Education organisation with 6000 employees and revenues of $552.0 million, Submittable, a United States based Professional Services organisation with 135 employees and revenues of $25.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure OpenAI Service, including the breakdown by industry (21 Verticals), Geography (Region, Country, State, City), Company Size (Revenue, Employees, Asset) and related IT Decision Makers, Key Stakeholders, business and technology executives responsible for the software purchases.
The Microsoft Azure OpenAI Service customer wins are being incorporated in our Enterprise Applications Buyer Insight and Technographics Customer Database which has over 100 data fields that detail company usage of software systems and their digital transformation initiatives. Apps Run The World wants to become your No. 1 technographic data source!
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| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
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Cushman & Wakefield | Construction and Real Estate | 52000 | $9.4B | United States | Microsoft | Microsoft Azure OpenAI Service | Generative AI Platforms | 2024 | n/a |
In 2024, Cushman & Wakefield deployed Microsoft Azure OpenAI Service as a strategic Generative AI Platforms initiative to embed advanced AI capabilities into client services and core operations. Microsoft Azure OpenAI Service is being used to provide cloud based access to cutting edge AI models and to enable the firm to create custom copilots that augment workplace productivity and client engagement.
The implementation configures modules aligned with Generative AI Platforms functionality, including machine learning workloads, cognitive services, bot framework support, computer vision, natural language processing, and speech recognition. The Microsoft Azure OpenAI Service deployment enables developers to build, deploy, and manage AI solutions and custom copilots that generate, summarize, and analyze content across documents and data sources.
Integration points explicitly include Copilot for Microsoft 365, which extends generative assistance into Teams, Outlook, and Word to surface suggestions, summaries, and analysis within productivity workflows. Microsoft Technology Centers are participating in the program by providing technical engagement, research access, and specialist collaboration to accelerate application design and iterative feedback loops.
Governance and operational intent emphasize secure handling of corporate data and controlled model usage, with Copilot for Microsoft 365 configured to prevent data exposure for training and to keep sensitive information within the company ecosystem. Cushman & Wakefield links this deployment to prior business and data alignment work dating back to 2018, and cites outcomes to date that include an 80% material reduction in operational cycle time and a reduction in client supply chain costs via proprietary supply chain network optimization capabilities.
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Guardian Childcare & Education | Education | 6000 | $552M | Australia | Microsoft | Microsoft Azure OpenAI Service | Generative AI Platforms | 2020 | n/a |
In 2020 Guardian Childcare & Education implemented Microsoft Azure OpenAI Service as a Generative AI Platforms deployment to enable an internal chatbot for childcare centre staff and to embed conversational AI into frontline support workflows. The implementation sits alongside a broader Azure-first cloud strategy at the organization level, supporting IT services for more than 130 childcare centres and multiple head office sites across Australia.
The Microsoft Azure OpenAI Service deployment was implemented together with a set of security and device management controls, including a Zero trust strategy for Azure user IDs, device registration via Azure Endpoint Manager Intune, and code signing for IT scripts and automation. Data governance capabilities were introduced through the commencement of Microsoft Purview for classification and data labeling, specifically to mask or hide sensitive fields such as banking details, medicare numbers, and DHS customer reference numbers.
Integrations are explicit and operational, Microsoft Sentinel SIEM captures events across Azure and Microsoft 365 and is planned to ingest Meraki network device telemetry, while onboarding and offboarding automation is driven from payroll system data. The chatbot built on Microsoft Azure OpenAI Service is deployed as a front-line knowledge assistant for childcare centre staff and is integrated into the organization’s IT support stack, which includes a new Freshservice helpdesk used by IT and 15 additional head office departments. Network and telephony changes were rolled across 130 centres and three head offices, and a full migration of on-premises servers to Microsoft Azure cloud hosting provided the underlying platform for these services.
Governance and operational changes accompanied the technical rollout, with formalized KPIs and OLAs for internal service delivery, MAC address filtering for managed devices, and centralized ownership of IT service delivery. Operational outcomes explicitly reported include turning around an underperforming delivery team so that 92 percent of 134 childcare centre managers rated IT performance as well or very well in an internal CEO survey, and sustaining growth from 112 to 170 childcare centres in three years while maintaining the same IT team headcount through automation and process improvements.
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Mercy | Healthcare | 45005 | $8.0B | United States | Microsoft | Microsoft Azure OpenAI Service | Generative AI Platforms | 2023 | n/a |
In 2023 Mercy implemented Microsoft Azure OpenAI Service as a platform-level initiative within Generative AI Platforms to extend the health system's AI capabilities across clinical and operational workflows. The collaboration with Microsoft is positioned as a long-term program to provide physicians, advanced practice providers and nurses more time for patient care by embedding generative AI into patient and co-worker interactions and into Mercy's AI-powered intelligent data platform built on the Microsoft Cloud.
Microsoft Azure OpenAI Service is being used for discrete functional modules including generative AI-assisted patient communication to explain lab results in conversational language, a patient-facing conversational assistant for appointment scheduling with automated follow-up recommendations, and an internal chatbot for Mercy co-workers to locate policies, procedures and HR answers. The deployment also targets clinician-facing capabilities, including real-time clinical decision-making support and smart dashboards that surface data insights affecting patient discharge and care coordination.
Architecturally the work is centered on Azure and the Microsoft Cloud, with Microsoft Azure OpenAI Service providing model inference and conversational AI capabilities running on top of Mercy's centralized data estate. Mercy describes an AI-powered intelligent data platform that centralizes and governs data in Azure, enabling secure access to clinical and operational data for generative models and for modern work solutions aimed at improving co-worker productivity and communication.
Governance and rollout are being driven through co-innovation activities, including hackathons that paired Mercy engineering teams and leaders with Microsoft engineers to define use cases, and a phased plan to bring multiple AI use cases online with a public showcase at the Microsoft Technology Center in 2024. Mercy reports it is exploring more than four dozen AI uses and will launch multiple prioritized use cases by the middle of the following year, indicating a staged incubation and scale approach tied to data governance and clinical adoption.
Stated outcomes include enabling clinicians to spend more time on patient care, improving the patient experience through clearer lab result explanations and conversational access to information, and giving care teams better visibility via smart dashboards to reduce unnecessary inpatient days. Mercy positions Microsoft Azure OpenAI Service and the broader Microsoft Cloud as the preferred foundation for ongoing innovation, secure data governance and the operationalization of generative AI across patient and co-worker workflows.
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Professional Services | 135 | $25M | United States | Microsoft | Microsoft Azure OpenAI Service | Generative AI Platforms | 2023 | n/a |
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Buyer Intent: Companies Evaluating Microsoft Azure OpenAI Service
- City of Goleta, CA, a United States based Government organization with 100 Employees
- Deutsche Post, a Germany based Transportation company with 600000 Employees
- BlackRock, a United States based Banking and Financial Services organization with 19900 Employees
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