This new integration supports multiple languages in a single bot, the addition of new language to an existing bot, and other features. Since the latest release of this Framework (v1.5.0), the Solution has integrated Amazon Lex V2 as an option for the brain module of the chatbot. The Serverless Bot Framework solution uses AWS CloudFormation to automate the deployment of framework architecture into AWS Cloud, as shown in Figure 1.įigure 1. In addition, it alleviates the need to engage a CSR. This chatbot can be customized to enrich customer support with intelligent, self-service, and life-like experiences. It can also be extended to expand the scope of customer support by integrating with the existing Salesforce ecosystem. This is an AWS Solutions Implementation that can be used to add sophisticated conversational chatbots to an existing web or mobile application. In this blog post, we’ll explore a pre-packaged AWS architect-vetted solution called the Serverless Bot Framework. Chatbots can help businesses save annual support costs by over 50% and reduce customer issue resolution wait-times by up to 90%. Among these are 24/7 customer support with no agent wait-times, improved operational excellence, self-learning intelligence, efficient use of Customer Service Representative (CSR) agents, and more. An intelligent chatbot on top of customer-facing platforms comes with inherent benefits. Businesses realize these interactions are resulting in quicker resolutions of customer concerns than a more traditional approach of agent interactions. Conversational interfaces have become increasingly popular, both on web and mobile.