List of Microsoft Azure AI Services Customers
Microsoft
One Microsoft Way,
Redmond, 98052-6399, WA,
United States
Redmond, 98052-6399, WA,
United States
1 425-882-8080
Professional Services
221000
$243.0B
Since 2010, our global team of researchers has been studying Microsoft Azure AI Services 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 AI Services for API Management 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 AI Services for API Management include: AT&T, a United States based Communications organisation with 146040 employees and revenues of $122.43 billion, Bradesco, a Brazil based Banking and Financial Services organisation with 84022 employees and revenues of $46.67 billion, Access Group, a United Kingdom based Professional Services organisation with 8500 employees and revenues of $1.36 billion and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure AI Services, 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 AI Services 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!
Apply Filters For Customers
| Logo | Customer | Industry | Empl. | Revenue | Country | Vendor | Application | Category | When | SI | Insight |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
Access Group | Professional Services | 8500 | $1.4B | United Kingdom | Microsoft | Microsoft Azure AI Services | API Management | 2024 | n/a |
In 2024, The Access Group implemented Microsoft Azure AI Services to build Access Evo, a governed AI platform that uses Azure API Management as its GenAI Gateway across product suites for HR, operations and analytics in the United Kingdom. The deployment centered on API Management as the control plane for access, telemetry and cost routing, providing a consistent interface for product teams and platform engineers.
Access Evo was configured to standardize routing, telemetry, cost controls and security policies through Microsoft Azure AI Services and Azure API Management, with explicit functional capabilities for request routing, centralized telemetry ingestion, policy-based cost allocation and authentication enforcement. The implementation emphasized reusable API contracts and developer-facing gateways to increase developer velocity and accelerate feature delivery across AI product teams.
Operational coverage focused on integrating the GenAI Gateway with The Access Group product suites for HR, operations and analytics, enabling managed access to generative models and model-driven services across UK business units. Microsoft Azure AI Services served as the runtime and management layer while Azure API Management provided the gateway, enabling centralized telemetry and usage tracking across the platform.
Governance was formalized through Access Evo with policy enforcement and lifecycle controls aligned to a platform-wide governance model, supporting accreditation efforts and standardized workflows for product onboarding and API lifecycle management. The platform approach introduced centralized policy templates, role-based access controls and cost governance mechanisms to ensure consistent security and compliance across suites.
As an explicit outcome the platform supported the launch of more than 50 AI products within a year, achieved ISO 42001 accreditation and scaled to serve 2.2 million users while improving developer velocity. Microsoft Azure AI Services and Azure API Management were central to the architecture, providing the API Management capabilities required to standardize routing, telemetry, cost controls and security across The Access Group product portfolio.
|
 |
AT&T | Communications | 146040 | $122.4B | United States | Microsoft | Microsoft Azure AI Services | API Management | 2023 | n/a |
In 2023, AT&T deployed Microsoft Azure AI Services as the platform for an enterprise AI framework called Ask AT&T, using API Management to centralize and secure access to model endpoints. The implementation leveraged Azure API Management, Azure OpenAI, and Azure Kubernetes Service to provide a cloud-native control plane for generative AI capabilities across the organization.
The deployment created reusable AI agents and API proxies, with configuration focused on model routing, authentication, rate control, and telemetry typical of API Management implementations. Containerized inference and orchestration on AKS supported scalable model execution while Azure API Management provided developer portal functionality, API versioning, and policy-driven request handling to standardize consumption patterns.
Operational coverage targeted customer care and internal workflows across the United States, embedding the Ask AT&T agents into ticketing and search experiences to surface AI responses. The program delivered 71 generative AI solutions that collectively processed billions of tokens daily and served more than 100,000 employees, indicating broad internal adoption of the Microsoft Azure AI Services implementation.
Governance controls were formalized alongside the technical rollout, with reusable agent templates and compliance guardrails to manage model behavior and data handling. Developer productivity improvements were emphasized through centralized API contracts and portal-based onboarding, enabling teams to build on standardized AI services rather than reinvent interfaces.
Reported outcomes from the program include a reduction in resolution and search times by approximately 33 percent, improved compliance oversight, and higher developer productivity, all operating on the Microsoft Azure AI Services foundation with API Management as the integration and control layer.
|
 |
Bradesco | Banking and Financial Services | 84022 | $46.7B | Brazil | Microsoft | Microsoft Azure AI Services | API Management | 2023 | Avanade |
In 2023, Bradesco implemented Microsoft Azure AI Services to deliver a multi-agent generative AI platform called Bridge, using Azure OpenAI, Azure AI Foundry and Azure API Management in the API Management category to streamline customer service, contact-center operations and internal employee support across Brazil. Avanade served as the implementation partner for the deployment, coordinating cloud provisioning, integration workstreams and phased rollout across service lines.
The deployment architecture centered on Azure API Management as the gateway layer, Azure AI Foundry for model orchestration and governance, and Azure OpenAI for generative agent runtime. Functional modules included multi-agent orchestration for conversation handoffs, conversational agents tailored to external customer queries and internal employee support, API routing and rate control, and telemetry for usage and model performance tracking.
Integrations extended to contact-center systems and customer service channels as well as internal support systems, enabling Bridge to operate across digital channels and staff-assisted workflows. The solution was designed to scale its API surface to millions of customers in Brazil, with API Management handling service exposure, authentication patterns and traffic governance for the AI services.
Operational governance included API lifecycle controls, model versioning and monitoring workflows implemented through Azure AI Foundry and API Management, and a phased operational rollout across contact-center and internal support teams. Avanade coordinated deployment sequencing and operational handover, aligning model governance and API policies with contact-center processes and internal support workflows.
Explicit outcomes reported from the implementation include external digital resolution rates of 83 percent and internal resolution rates of 80 percent, a technology cost reduction of approximately 30 percent, acceleration of product launches up to 10 times faster, and scaling of AI services to millions of customers.
|
Showing 1 to 3 of 3 entries
Buyer Intent: Companies Evaluating Microsoft Azure AI Services
ARTW Buyer Intent uncovers actionable customer signals, identifying software buyers actively evaluating Microsoft Azure AI Services. Gain ongoing access to real-time prospects and uncover hidden opportunities.
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||
FAQ - APPS RUN THE WORLD Microsoft Azure AI Services Coverage
Microsoft Azure AI Services is a API Management solution from Microsoft.
Companies worldwide use Microsoft Azure AI Services, from small firms to large enterprises across 21+ industries.
Organizations such as AT&T, Bradesco and Access Group are recorded users of
Microsoft Azure AI Services for API Management.
Companies using Microsoft Azure AI Services are most concentrated in Communications, Banking and Financial Services and Professional Services, with adoption spanning over 21 industries.
Companies using Microsoft Azure AI Services are most concentrated in United States, Brazil and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Microsoft Azure AI Services across Americas, EMEA, and APAC.
Companies using Microsoft Azure AI Services range from small businesses with 0-100 employees - 0%, to mid-sized firms with 101-1,000 employees - 0%, large organizations with 1,001-10,000 employees - 33.33%, and global enterprises with 10,000+ employees - 66.67%.
Customers of Microsoft Azure AI Services include firms across all revenue levels — from $0-100M, to $101M-$1B, $1B-$10B, and $10B+ global corporations.
Contact APPS RUN THE WORLD to access the full verified Microsoft Azure AI Services customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of API Management.