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List of Amazon Alexa Voice AI Customers

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Logo Customer Industry Empl. Revenue Country Vendor Application Category When SI Insight
CVS Health Healthcare 219000 $372.8B United States Amazon Web Services (AWS) Amazon Alexa Voice AI Chatbots and Conversational AI 2024 n/a
In 2024, CVS Health deployed Amazon Alexa Voice AI into its AWS public cloud environment, integrating voice interaction capabilities with enterprise application services. Apps Category: The implementation of Amazon Alexa Voice AI centers on voice interface orchestration and cloud native compute, using AWS Lambda for serverless execution, Amazon RDS for structured data persistence, and Amazon S3 for object storage. Infrastructure as code was applied through AWS CloudFormation to standardize provisioning of VPCs, subnets, security groups and EC2 instances, while AWS Kinesis Firehose was instrumented for streaming telemetry and event ingestion. The deployment includes messaging and event patterns implemented with Amazon SQS and Amazon SNS to decouple voice processing workflows from downstream services. Integration points reflect the skills called out in the program, with AWS SSO and IAM roles and policies governing identity and access management, and Direct Connect Gateway and Transit Gateway used to provide managed network connectivity between on premises estates and the AWS environment. The project engaged application development and data engineering teams for pipeline integration and operational handoff, and monitoring and alerting were configured to track cloud resource availability and function execution. Governance and operational controls emphasize IAM policy administration, centralized SSO, and automated deployment pipelines to support repeatable rollouts and incident troubleshooting. The architecture and operational model are aligned to support enterprise scale voice services while maintaining security, cloud networking hygiene, and collaboration between platform engineers and application teams.
Electricity of France Utilities 171862 $151.0B France Amazon Web Services (AWS) Amazon Alexa Voice AI Chatbots and Conversational AI 2018 n/a
In 2018, Electricity of France implemented Amazon Alexa Voice AI within EDF Energy Research and Development UK to prototype voice-first customer and operational assistants. The work targeted the Apps Category , beginning with skills intended to enable vulnerable energy customers to interact with their energy accounts and thermostats using only voice. The implementation delivered a set of Amazon Alexa skills, including account linking workflows that allow an Amazon Echo to connect to a customer energy account, and thermostat control capabilities for eligible devices. EDF Energy R&D built exploratory conversational capabilities and an evolving project called EVE, described as a smart personal energy assistant that learns from aggregated user feedback and refines understanding of individual customers. Architecturally the program leveraged Amazon Web Services as the cloud platform and Amazon Echo devices as the voice endpoints, with server side logic implementing natural language handling, account authentication and device control. The Digital Innovation team also constructed internal chatbots that automate developer and operational tasks, including logging work, automating deployments, and creating bug reports without manual server access. Governance and roll out were driven by EDF Energy Research and Development UK and the Digital Innovation team, with the initial public release described as the first Alexa skill launched by an energy company and made available to all customers by linking the Echo to any customer energy account. The program emphasized iterative exploration of conversational AI for customer engagement and internal productivity, while evolving EVE as a longer term personal energy concierge concept.
Liverpool Victoria United Kingdom Insurance 3000 $2.1B United Kingdom Amazon Web Services (AWS) Amazon Alexa Voice AI Chatbots and Conversational AI 2020 n/a
In 2020, Liverpool Victoria United Kingdom implemented Amazon Alexa Voice AI in the Voice AI category to provide car insurance customers with a conversational policy access channel. The deployment established a consumer facing voice skill branded as Open LV, positioning Amazon Alexa Voice AI as a self service policy inquiry capability for car insurance customers. The implementation configured the Amazon Alexa Voice AI skill to answer over 500 policy based questions that were collated from LiveChat transcripts and contact centre enquiries, embodying a knowledge driven question and answer module and an iterative content update process. The solution architecture includes continuous content updates and software updates to refine responses and expand the question set, enabling the application to evolve as new policy queries emerge. Amazon Alexa Voice AI was published on Amazon Alexa and Google Home Assistant devices, with hosting and cloud services aligned to Amazon Web Services. Liverpool Victoria United Kingdom worked with specialist agency Rabbit and Pork to build the conversational flows and utterance mapping, and the initial scope targeted car insurance customers as a first product line with plans to add other products to the voice app in due course. Governance for the voice skill included a content curation workflow driven by contact centre and LiveChat analytics, ongoing maintenance to add or refine answers, and an operational objective to provide an alternative access method for customers less able to use a computer or telephone. The rollout aimed to reduce some of the 28,000 plus monthly policy document questions routed to contact centre employees, freeing capacity for more complex call handling, and established the first voice skill for car insurance customers by a direct insurer.
Wynn Las Vegas Leisure and Hospitality 6340 $2.6B United States Amazon Web Services (AWS) Amazon Alexa Voice AI Chatbots and Conversational AI 2019 n/a
In 2019 Wynn Las Vegas began integrating Amazon Alexa Voice AI into its guest room experience via the DigiValet platform, initiating a program that extended voice and tablet controls across the resort. The rollout targeted more than 4,700 rooms across the Wynn and Encore towers and was executed as a floor by floor refurbishment to limit each floor out of inventory to no more than 24 hours. The implementation combined the DigiValet in-room tablet application with Amazon Alexa Voice AI as the Chatbots and Conversational AI layer to deliver voice activated rooms, room and TV controls, and in-room dining workflows. Functional modules configured included voice control for HVAC and entertainment, the DigiValet in-room dining module with order notes and allergen capture, dynamic menu publishing, and queue-aware delivery time estimation. The Amazon Alexa Voice AI skill set was reprogrammed for property specific intents and responses to align guest voice requests with DigiValet automation. Integrations were explicit and operational, DigiValet was integrated with Oracle Hospitality Simphony POS so that allergens, preferences, order notes, and promised delivery times were transmitted and printed on KOT for kitchen operations, and menu changes from F&B were reflected immediately on the guest interface. The deployment leveraged Amazon Web Services AWS for platform hosting and scaled voice provisioning to room devices, while DigiValet managed device-level configuration and Alexa skill provisioning. Orders could be routed between tower kitchens when one kitchen was out of order and custom workflows were implemented to regulate concurrent orders during peak periods. Governance and rollout focused on minimizing guest disruption and operational risk, the project team coordinated installation while the hotel remained open and completed room rollouts in under six months. Operational controls were added to limit the number of concurrent in-room dining orders in the system, surfaces were provided for convention teams to publish channel and messaging experiences for specific groups, and Alexa reprogramming was included as part of device commissioning. Project coordination centered on tight sequencing, device configuration standards, and on-property operational playbooks. Outcomes reported by the property included high guest adoption of the DigiValet tablet and voice features, with more than 40 percent of guests using Amazon Alexa Voice AI for room and TV controls and widespread use of the in-room dining module. The property reported increased digital ordering and an increase in in-room dining revenue, along with reduced manual staff involvement in order taking as ordering shifted to the DigiValet app and Alexa voice flows.
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FAQ - APPS RUN THE WORLD Amazon Alexa Voice AI Coverage

Amazon Alexa Voice AI is a Chatbots and Conversational AI solution from Amazon Web Services (AWS).

Companies worldwide use Amazon Alexa Voice AI, from small firms to large enterprises across 21+ industries.

Organizations such as CVS Health, Electricity of France, Wynn Las Vegas and Liverpool Victoria United Kingdom are recorded users of Amazon Alexa Voice AI for Chatbots and Conversational AI.

Companies using Amazon Alexa Voice AI are most concentrated in Healthcare, Utilities and Leisure and Hospitality, with adoption spanning over 21 industries.

Companies using Amazon Alexa Voice AI are most concentrated in United States, France and United Kingdom, with adoption tracked across 195 countries worldwide. This global distribution highlights the popularity of Amazon Alexa Voice AI across Americas, EMEA, and APAC.

Companies using Amazon Alexa Voice AI 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 - 50%, and global enterprises with 10,000+ employees - 50%.

Customers of Amazon Alexa Voice AI 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 Amazon Alexa Voice AI customer database with detailed Firmographics such as industry, geography, revenue, and employee breakdowns as well as key decision makers in charge of Chatbots and Conversational AI.