List of AWS Chatbot Customers
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Since 2010, our global team of researchers has been studying AWS Chatbot 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 AWS Chatbot for Chatbots and Conversational 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 AWS Chatbot for Chatbots and Conversational AI include: Sunrun, a United States based Manufacturing organisation with 12408 employees and revenues of $2.30 billion, LIFULL Co., Ltd., a Japan based Media organisation with 1300 employees and revenues of $313.2 million, Whisker, formerly AutoPets, a United States based Manufacturing organisation with 200 employees and revenues of $31.0 million and many others.
Contact us if you need a completed and verified list of companies using AWS Chatbot, 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 AWS Chatbot 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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LIFULL Co., Ltd. | Media | 1300 | $313M | Japan | Amazon Web Services (AWS) | AWS Chatbot | Chatbots and Conversational AI | 2025 | n/a |
In 2025, LIFULL Co., Ltd. deployed AWS Chatbot to centralize operational notifications into Slack for its Japan based engineering and DevOps teams. The AWS Chatbot deployment falls under the Chatbots and Conversational AI category and is positioned to operationalize ChatOps workflows that connect development and operations functions.
The implementation configures AWS Chatbot to aggregate notifications for application deployments, infrastructure provisioning, and performance monitoring, consolidating alerts into dedicated Slack channels. Functional capabilities implemented include notification aggregation, contextual alert payloads, and interactive chat driven controls that enable engineers to respond and execute routine actions without switching context from Slack.
Integration with Slack is the explicit integration point, with AWS Chatbot surfacing events from LIFULLs AWS environment into team channels used by engineering and DevOps. The operational scope is focused on Japan based engineering and DevOps teams, supporting incident response, deployment verification, and on call collaboration within existing development workflows.
Governance and operating practices were adjusted to embed ChatOps into developer workflows, centralizing alerting and reducing tool switching for engineering staff. This ChatOps implementation using AWS Chatbot is reported to speed development time and improve the overall developer experience.
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Sunrun | Manufacturing | 12408 | $2.3B | United States | Amazon Web Services (AWS) | AWS Chatbot | Chatbots and Conversational AI | 2024 | n/a |
In 2024, Sunrun integrated Amazon Q Developer into its enterprise Slack workspace using AWS Chatbot, implementing AWS Chatbot within the Chatbots and Conversational AI category to provide developers with natural-language access to cloud guidance and troubleshooting.
The implementation configured AWS Chatbot to accept developer queries in Slack and surface Amazon Q Developer responses about AWS resources, recommended best practices, and troubleshooting steps, leveraging conversational search and intent handling common to Chatbots and Conversational AI platforms. Configuration work included channel-level access controls, query routing to the Amazon Q Developer service, and scoped permissioning to ensure guidance was relevant to Sunrun's AWS accounts and engineering contexts.
Operational scope covered Sunrun's cloud and engineering teams in the United States, embedding conversational assistance into developer workflows to increase self-service and improve development velocity. Governance and process updates focused on query policy, access control within the enterprise Slack workspace, and curation of conversational guidance to align responses with Sunrun operational standards. Outcomes reported by Sunrun included increased developer self-service, improved development velocity, and reduced dependence on AWS Support.
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Whisker, formerly AutoPets | Manufacturing | 200 | $31M | United States | Amazon Web Services (AWS) | AWS Chatbot | Chatbots and Conversational AI | 2022 | n/a |
In 2022, Whisker, formerly AutoPets, implemented AWS Chatbot into its #Whiskers-AWS-Production Slack channel. The deployment used AWS Chatbot as a Chatbots and Conversational AI solution to enable in-channel operational workflows for DevOps and engineering teams.
The implementation configured AWS Chatbot to surface operational alerts, accept AWS operational commands, and support in-channel troubleshooting, enabling engineers to run commands and investigate resources without leaving Slack. Configuration emphasized ChatOps patterns, including threaded conversations for incident context and command confirmation flows to reduce noisy escalation loops.
Technically the deployment integrated Slack with Whisker’s AWS environment so alerts and notifications flowed into the #Whiskers-AWS-Production channel and authenticated command executions invoked AWS APIs from channel context. Operational coverage was centered on U.S.-based DevOps and engineering teams, provisioning a single production channel as the primary operational touchpoint for cloud alerts and remediation actions.
Governance and workflow changes focused on centralizing incident intake into Slack and shifting first-line troubleshooting into the ChatOps channel to streamline handoffs. The deployment reduced average customer response time by several hours and contributed to improved app store ratings and faster incident resolution as reported by Whisker.
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Buyer Intent: Companies Evaluating AWS Chatbot
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