Intuit, Inc.

Peter Lubczynski

Kevin M McCluskey

David Alan Hanekamp, Jr

Matthew Allen Brincho

Gang Wang

Kyle J Ryan

Daniel P Dunbar

Michael A Artamonov

Steven J Atkinson

Nankun Huang

Paul A Parks

Justin Rui Chang Chiang

Maria Regina Villanueva Garcia

Tracy Fung

Edward Milton Renner

David Hanekamp

Ernest Montoya

Certain aspects of the present disclose provide techniques for generating a knowledge engine module collection. Techniques for generating the module collection include receiving input data comprising a first identifier, a second identifier, and a third set of fields. Based on the input data, a UI builder tool can retrieve a first set of artifact files and a second set of artifact files corresponding to a first module and a second module. The UI builder tool can generate a third set of artifact files based on the first set of artifact files, the second set of artifact files, and the input data.

Knowledge engine module collections

A computer-implemented method for generating explanations for a tax calculation or operation performed by tax preparation software is disclosed. A computing device executes a tax calculation engine in connection with the tax preparation software and operates on a tax calculation graph to perform a tax calculation. The tax calculation graph semantically describes data dependent tax operations comprising functional nodes connected to input nodes by one of a plurality of functions, wherein each tax operation is associated with one or more explanations. An explanation engine is executed to generate a narrative explanation from the one or more explanations associated with one of the tax operations and is presented to the user on the computing device.

System and method for generating explanations for tax calculations

Certain aspects of the present disclosure provide techniques for generating a user experience for a software program product based on a knowledge engine. Techniques for generating the user experience include a UI builder tool providing a set of tabular UI views and receiving in each tabular UI view corresponding input data for generating a calculation graph, a completeness graph, a client UI view, and a constants table. Based on the input data, the UI builder tool and knowledge engine can generate a set of artifact files. The knowledge engine can generate and/or execute the calculation graph(s), completeness graph(s), and constants table(s) as defined in the corresponding artifact files. The UI builder tool can generate an instance of the client UI view. With the generated calculation graph(s), completeness graph(s), constants table(s), and an instance of the client UI view, the user experience can be provided to a computing device.

Knowledge engine auto-generation of guided flow experience

Computer-implemented systems, methods and articles for generating an error report listing errors identified in the computerized preparation of a payroll tax form. The system includes a computing device, a data store, and a payroll tax form software application executable by the computing device. The payroll tax form software includes a payroll calculation engine, an error check engine, and one or more error graph(s). Each error graph includes a plurality of interconnected nodes configured to utilize tax data and calculated payroll data to identify errors. The calculation engine is configured to read tax data from the shared data store, perform payroll calculation operations, and write calculated payroll data to the shared data store. The error check engine is configured to read the tax data and payroll data and process the error graph(s) to identify errors and generate an error report listing the errors and/or explanations of the errors.

Systems and methods for generating an error report listing errors in the preparation of a payroll tax form

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San Diego, CA, United States of America

Peter Lubczynski