Workflow Descriptions for 2.0

Most conversational platforms work based on predefined intents, which means they are designed to recognize specific user intentions and provide the appropriate responses. However, this approach has significant shortcomings. Such bots can only answer a predefined set of questions, they don't take into account the question context and finally, they don't exploit the conversation history. At the same time, the intent database generation is a time-consuming task, the final result lacks generalizability and is an error-prone process.

Welcome to Conversational AI 2.0 where you can experience more human-like conversations with history, context and disambiguation. No more defining and managing intents and mapping actions. Conversations AI 2.0 is intentless, meaning, it is easier to set up, easier to manage and provides faster time to value. It uses LLMs to collect input, reason and organize results from multiple fulfillments to enrich the user experience. New intentless apps do not try to interpret intent but provide responses based on the user input received, offering a more flexible and adaptable conversational experience

Since there are no pre-defined intents, the system has to be smart to know what user inputs may be required to execute workflows. This is achieved using LLMs to intelligently review workflow descriptions and determine the mandatory and optional input data fields needed to execute the flow. This process of conversationally collecting required inputs is called slot filling.