Intuit, Inc.

Inuit, Inc.

Divya Kumar

Sahil Sharma

Bhargava Narayana

Neha Giri

Manish Jain

Rajshekhar Desai

Arun Kumar A

Zeerak Mehdi

Hemanth Nellitheertha

Aspects of the present disclosure relate to proactive intervention in a software application. Embodiments include selecting, by a proactive intervention system related to an application, an event of a plurality of events related to use of the application for processing based on event priorities associated with the plurality of events. Embodiments further include receiving, by the proactive intervention system, contextual information related to the event. Embodiments further include determining, by the proactive intervention system, a proactive intervention based on the event and the contextual information. Embodiments further include determining, by the proactive intervention system, that the proactive intervention can presently be provided based on intervention availability data. Embodiments further include providing, by the proactive intervention system, the proactive intervention via a user interface associated with the application.

Event-driven platform for proactive interventions in a software application

A method and system monitors activity of a user of a data management system and detects a trigger event in the activity of the user. The method and system generates a support case responsive to the trigger event. The support case includes support rules defining what types of the user's personal data will be accessible to an assistance agent when the user requests assistance related to the trigger event. The method and system utilizes machine learning processes to determine what types of user related data should be accessible to assistance agents in support cases.

System and method for providing request driven, trigger-based, machine learning enriched contextual access and mutation on a data graph of connected nodes

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Bengaluru, India

Divya Kumar