![]() Agent Hand-off: Let the bot handle most user queries, while providing a seamless escalation to a human agent.Conversation System: BotCore uses Message Definition Language (MDL) to define bot responses.Knowledge Graph: Build bot conversations with an integrated Knowledge Graph consisting of multi-functional nodes.It is fully deployable on both on-premise and cloud (Microsoft Azure) environments. BotCore is a no-code enterprise-grade bot platform. Using “Cognitive Abstraction” it can leverage any AI service available today and will scale for future services. BotCoreīotCore is an accelerator that enables organizations to train, build & launch customized conversational bots powered by artificial intelligence. With the help of PVA, powerful chatbots can be built using a guided, no-code graphical interface that can be deployed for sales, HR, finance, customer service and virtually on all channels where customers need to be engaged. Bot Framework and Azure Bot Service and Cognitive Services provide the technological foundation for Power Virtual Agents that are essentially SDKs that allow users to build chatbots with minimal coding thus making the technology available to citizen developers. PVA greatly reduces the need to have the infrastructure to maintain and deploy chatbots as Microsoft’s Azure Cloud Services does all the heavy lifting of providing a conducive environment to host the application.Ĭhatbots to handle customer service questions and inquiries internal and external to the organisation can be developed using Power Virtual Agents. Power Virtual Agents is a SaaS offering by Microsoft to build chatbots that can be integrated with several Microsoft and third-party applications. The 7 Popular Tools To Build No-Code Chatbots 1. There are several frameworks or software development kits (SDKs) readily available necessary to build intelligent bots that drastically reduce the amount of code required to build chatbots thus democratising the chatbot technology. The problem of finding niche expertise and the cumbersome process in building chatbots is being resolved by the uprise of no/low code chatbot platforms that allow businesses to enjoy the customer service benefits of chatbots without draining resources. Time and resource intensive practices of developing chatbots has been a major impediment for smaller companies to effectively implement the technology along with a fierce competition for the scarce engineering talent pool to develop chatbots. ![]() Large amounts of time and money expended into building chatbots ultimately did not seem viable or profitable. Conventionally, it required extensive knowledge, skill and substantial coding, support, maintenance, and manual work to build chatbots from the ground up.
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