Machine learning based tenant-specific chatbots for performing actions in a multi-tenant system

A non-transitory computer readable storage medium storing instructions that when executed by one or more computer processors, cause the one or more computer processors to perform steps for enabling custom configuration of a tenant-specific chatbot to process and act upon natural language requests without requiring tenant-specific training, the steps comprising:

• providing a user interface displaying a set of actions;
• receiving a selection of one or more actions from the set of actions;
• configuring the selected one or more actions as a tenant-specific set of permitted actions;
• automatically generating a set of tenant-specific example phrases for each of the tenant-specific permitted actions based on metadata associated with the tenant-specific permitted actions, each example phrase representing a natural language request for performing a corresponding permitted action;
• and
• configuring a tenant-specific chatbot to:
• (i) receive a natural language request to perform one of the tenant-specific permitted actions,
• (ii) for an example phrase from the set of example phrases, input the natural language request and the example phrase into a neural network to receive a score indicating whether said example phrase can be inferred from the natural language request, wherein the neural network is configured to receive (a) an input natural language request and (b) an input example phrase and output a score indicating whether the input example phrase can be inferred from the input natural language request, and
• (iii) if a score obtained from an example phrase meets a threshold indicating that the example phrase can be inferred from the natural language request, perform the tenant-specific permitted action corresponding to the example phrase.

A computer system comprising:

• one or more computer processors;
• and
• a non-transitory computer readable storage medium storing instructions that when executed by the one or more computer processors cause the one or more computer processors to perform steps for enabling custom configuration of a tenant-specific chatbot to process and act upon natural language requests without requiring tenant-specific training, the steps comprising:
• providing a user interface displaying a set of actions;
• receiving a selection of one or more actions from the set of actions;
• configuring the selected one or more actions as a tenant-specific set of permitted actions;
• generating a set of tenant-specific example phrases for each of the tenant-specific permitted actions based on metadata associated with the tenant-specific permitted actions, each example phrase representing a natural language request for performing a corresponding permitted action;
• and
• configuring a tenant-specific chatbot to:
• (i) receive a natural language request to perform one of the tenant-specific permitted actions,
• (ii) for an example phrase from the set of example phrases, input the natural language request and the example phrase into a neural network to receive a score indicating whether said example phrase can be inferred from the natural language request, wherein the neural network is configured to receive (a) an input natural language request and (b) an input example phrase and output a score indicating whether the input example phrase can be inferred from the input natural language request, and
• (iii) if a score obtained from an example phrase meets a threshold indicating that the example phrase can be inferred from the natural language request, perform the tenant-specific permitted action corresponding to the example phrase.