List of Microsoft Azure Speech to Text Customers
Redmond, 98052-6399, WA,
United States
Since 2010, our global team of researchers has been studying Microsoft Azure Speech to Text 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 Speech to Text for Speech Recognition AI 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 Speech to Text for Speech Recognition AI include: Lloyds Banking Group, a United Kingdom based Banking and Financial Services organisation with 61228 employees and revenues of $25.41 billion, ABN AMRO Netherlands, a Netherlands based Banking and Financial Services organisation with 18295 employees and revenues of $7.00 billion, Cooperatieve Rabobank Peelland Zuid Ua, a Netherlands based Banking and Financial Services organisation with 20 employees and revenues of $2.0 million and many others.
Contact us if you need a completed and verified list of companies using Microsoft Azure Speech to Text, 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 Speech to Text 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 |
|---|---|---|---|---|---|---|---|---|---|---|---|
 |
ABN AMRO Netherlands | Banking and Financial Services | 18295 | $7.0B | Netherlands | Microsoft | Microsoft Azure Speech to Text | Speech Recognition AI | 2023 | Capgemini |
In 2023 ABN AMRO Netherlands implemented Microsoft Azure Speech to Text as part of a broader initiative that used Microsoft Copilot Studio to extend conversational interfaces into voice channels. The deployment targeted customer and employee conversational agents to enable voice IVR and contact center interactions across the Netherlands.
Microsoft Azure Speech to Text, in the Speech Recognition AI category, was configured to provide speech to text and text to speech capabilities and to feed intent recognition pipelines inside conversational orchestration. Functional configuration emphasized voice capture, real time transcription, synthesis distribution, and model tuning for Dutch language intent recognition to support both automated self service and agent assist workflows.
The implementation integrated Azure AI Speech services with Microsoft Copilot Studio and contact center routing, covering customer self service and employee support channels. Capgemini acted as the systems integrator and coordinated the implementation effort, which completed in six months, aligning service endpoints, conversational intents, and routing logic to reduce transfer and drop off during voice interactions.
Governance and rollout used phased validation and intent calibration, with operational ownership in contact center and digital self service teams to maintain transcription quality and routing thresholds. The initiative delivered a noted 7 percent improvement in Dutch intent recognition, reduced drop off and transfer rates, and enabled faster time to market for conversational agents through structured configuration and integration of Microsoft Azure Speech to Text.
|
 |
Cooperatieve Rabobank Peelland Zuid Ua | Banking and Financial Services | 20 | $2M | Netherlands | Microsoft | Microsoft Azure Speech to Text | Speech Recognition AI | 2025 | n/a |
In 2025, Cooperatieve Rabobank Peelland Zuid Ua deployed Microsoft Azure Speech to Text to add real time transcription into its customer service operations, leveraging Speech Recognition AI for intent recognition and automated routing. The deployment targeted its Netherlands contact center to support a voice enabled agent alongside complementary conversational text agents.
Rabobank used Microsoft Copilot Studio together with Azure AI Speech to configure a voice enabled agent that converts spoken calls into text streams, feeding intent classification and routing logic. Two text agents were created and deployed rapidly, with the text agents going live within three months, delivering conversational automation and handoff rules for complex intents.
Transcription outputs were integrated into contact center routing and conversational automation workflows so the voice enabled agent could surface intents and route interactions to text agents or human agents based on detected intent. Operational coverage included handling high volume customer engagement, processing about 20,000 daily calls and 7,000 daily chats through the combined agent estate.
The implementation directly impacted customer service and contact center workflows, with Rabobank reporting a 62 percent self service chat rate from the deployed conversational agents. Microsoft Azure Speech to Text served as the core Speech Recognition AI component driving transcription, intent recognition, and routing for the deployment.
|
 |
Lloyds Banking Group | Banking and Financial Services | 61228 | $25.4B | United Kingdom | Microsoft | Microsoft Azure Speech to Text | Speech Recognition AI | 2025 | n/a |
In 2025 Lloyds Banking Group deployed Microsoft Azure Speech to Text as the core speech recognition service in a Branch Translation App built on Microsoft Power Apps. The implementation is categorized under Speech Recognition AI and positions Microsoft Azure Speech to Text as the streaming transcription layer that captures branch conversations for downstream language processing.
The Branch Translation App implements modules for speech to text transcription, language translation, and synthesized speech output, surfaced through a Power Apps user interface used by branch employees. Microsoft Azure Speech to Text provides continuous streaming transcripts that feed translation and text to speech modules to produce translated text and audible responses in the customer preferred language.
Developed and tested in about eight weeks, the solution was deployed across branches in the United Kingdom to enable employees to speak in English while customers receive translated text and synthesized speech, improving customer inclusivity and branch service. Operational coverage is explicitly branch level, affecting retail branch customer service and front line employee workflows.
Governance and rollout were executed through the Power Platform and Azure AI configuration model, embedding standardized employee workflows and UI controls in Power Apps to promote consistent usage across sites. The deployment illustrates rapid prototyping using Microsoft Azure Speech to Text within a Speech Recognition AI use case and reports improved inclusivity and branch service as the primary outcomes.
|
Buyer Intent: Companies Evaluating Microsoft Azure Speech to Text
Discover Software Buyers actively Evaluating Enterprise Applications
| Logo | Company | Industry | Employees | Revenue | Country | Evaluated | ||
|---|---|---|---|---|---|---|---|---|
| No data found | ||||||||