In our solution, the Orchestration Bot (a.k.a. Enables development with a multilingual approach using language resources and LUIS.Enables context switching, which means that the user can switch between different child bots, like for example Credit Card Bot and Health Checkup Bot.In this way, we can support publishing a single bot that:
However, we can enable support for multiple channels as part of the registration process by using Microsoft Bot Framework. Each of these bots needed to be registered and maintained separately. Prior to our engagement, this partner supported its localization and channel needs by writing multiple copies of the same bot for every language and every channel. Sage wanted to develop a platform where they could offer bots in multiple languages and through numerous channels such as Facebook Messenger, Slack, etc. But in order to build them, they first needed good design and infrastructure. Sage was setting out to develop a large collection of bots that would be offered in a variety of languages, locations, and needs. This code story describes how my team at Microsoft collaborated with Sage to find imaginative solutions for their bot-related challenges.
