AWS Conversational AI (CAI) partner solutions empower enterprise customers to implement high quality, highly effective chatbot, voice assistant, and Interactive Voice Response (IVR) experiences through the domain expertise of AWS Partners and AWS AI/ML Services.
The demand for conversational AI interfaces continues to grow as users prefer to interact with businesses on digital channels. Enterprises are developing chatbots and voice assistants to increase user satisfaction, reduce operational costs, and achieve business goals.
Building conversational AI interfaces can be challenging, given the free-form nature of user interactions and unstructured data. AWS CAI partners can help you achieve your goals while reducing time to market.
Deloitte is a services providers in the design, delivery, implementation, and scalability of high ROI conversational experiences. Their global CAI experts deliver solutions that are highly personalized, context-aware, and designed to serve users anytime, anyplace, and on any device.
ServisBOT enables enterprises to build and manage self-service chatbots and voice assistants, faster and easier. Providing customers tools for complex solutions, security, back-end integrations, and analytics, low-code tooling and blueprints for business users.
TensorIoT delivers industry-leading conversational solutions including Alexa apps, Amazon Lex chatbots, and voice applications. Whether your customers contact you by phone, web, or SMS, TensorIoT has expertise to deliver the end-to-end solution that is right for you.
XAPP AI’s Optimal Conversation™ (OC) Studio empowers enterprises to create intelligent virtual assistants for voice and chat channels. OC Studio provides model, dialog, and content management, regression testing, and human-in-the-loop workflows to enable continuous CAI transformation.
Discover more AWS Conversational AI Partners solutions and resources.
Best Practices in Conversational AI Design
Conversational leaders from Amazon discuss best practices in conversational AI design. Learn how to design for voice assistants and chatbots, how to handle fallbacks, the role of context and personalization, how to guide users along the happy path to successful engagement, and tips for creating intuitive flows.
Ryanair Improves Customer Support using Amazon SageMaker
Using Amazon Lex and Amazon SageMaker, Ryanair built a chatbot that improves its customer support experience and helps customers find answers to their questions quickly and easily.
Create a Question & Answer Bot with Amazon Lex and Amazon Alexa
In this post we provide a sample solution, called QnABot. The QnABot uses Amazon Lex and Amazon Alexa to provide a conversational interface for answers to customers' Frequently Asked Questions.
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