System and method for AI-powered autonomous resolution of user requests via dynamic execution of action workflows across multiple enterprise systems

A computer-implemented method of optimizing the retrieval of data from multiple different destination software applications or systems, the computer-implemented method comprising:

• applying a planner module to interpret a user's query by performing operations comprising:
• a) receiving a user query input, and
• b) decomposing the user query input into one or more sub-tasks, wherein each sub-task is associated with a specific system and an objective;
• applying a navigator module to generate a tailored approach for executing each of the one or more sub-tasks by performing operations comprising:
• analyzing the one or more sub-tasks of the planner module and one or more system reference documents to identify one or more appropriate API's and/or generate one or more appropriate SQL codes;
• applying an executor module to execute one or more of the sub-tasks in the destination system by performing operations comprising:
• a) applying a caller component to formulate appropriate caller parameters, and
• b) applying a parser component to identify and extract the relevant information;
• and
• applying a response generator module to generate one or more optimized final user responses, wherein the optimized final user response is generated by compiling data retrieved from the executor module.