| CPC H04L 51/02 (2013.01) [G06F 9/453 (2018.02); G06F 16/90332 (2019.01); G06F 16/954 (2019.01); G06F 40/56 (2020.01); G06N 20/00 (2019.01)] | 17 Claims |
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1. A computer-implemented method for monitoring and integration of one or more intelligent conversational agents, the computer-implemented method comprising:
creating, at a chatbot integration system with a processor, an online chatbot marketplace for enabling one or more vendors to upload the one or more intelligent conversational agents, wherein the online chatbot marketplace enables an enterprise to access the one or more intelligent conversational agents from the one or more vendors, wherein each of the one or more intelligent conversational agents is affiliated with a scope of field;
integrating, at the chatbot integration system with the processor, the one or more intelligent conversational agents for generating a mega bot in real-time, wherein each of the one or more intelligent conversational agents has a trust score, wherein the trust score is dependent on a plurality of factors associated with the one or more intelligent conversational agents;
generating, at the chatbot integration system with the processor, the mega bot based on the integration of the one or more intelligent conversational agents having the trust score;
collecting, at the chatbot integration system with the processor, a first set of data in real-time, wherein the first set of data is associated with a plurality of users, wherein the first set of data comprising user behavioral information, past engagements with conversational agents and user profile information;
receiving, at the chatbot integration system with the processor, one or more queries from the plurality of users for the mega bot, wherein the one or more queries are associated to the scope of field, wherein each of the one or more queries has a plurality of aspects, wherein the plurality of aspects comprising context, linguistic style, sentence construction, and lexical ambiguity;
selecting, at the chatbot integration system with the processor, a suitable intelligent conversational agent from the one or more intelligent conversational agents having the trust score above a threshold level based on the plurality of factors and the first set of data, wherein the mega bot selects the suitable intelligent conversational agent from the one or more intelligent conversational agents, wherein the threshold level is defined by the enterprise, wherein the plurality of factors comprising identification of the plurality of aspects, confidence level of the one or more intelligent conversational agents, past performance of the one or more intelligent conversational agents, behavior identification of the plurality of users, automated testing performance of the one or more intelligent conversational agents, performance of each of the one or more intelligent conversational agents in a virtual environment, and a feedback from the plurality of users;
creating, at the chatbot integration system with the processor, a primary response for the one or more queries at the mega bot using the suitable intelligent conversational agent from the one or more intelligent conversational agents, wherein the primary response is sent to the plurality of users; and
enabling, at the chatbot integration system with the processor, the one or more intelligent conversational agents to create a secondary response for the one or more queries in the virtual environment with a privacy rule limitation, wherein the secondary response enables the chatbot integration system to monitor performance of the one or more intelligent conversational agents in the virtual environment in real-time.
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