Wells Fargo Bank, N.a.

Miriam Felecia Clark

Dennis Emmanuel Montenegro

Margaret S Honeycutt

Jason Huang

Christopher Sipanya

Jason V Biala

Rajeswaran Govindan

Ryan Lee Hammond

Wyman Yu

Sergey Yamandiy

Samuel B Martin

Volkmar Scharf-Katz

Akhlaq M Khan

An process analysis computing system receives input data that identifies a subject-matter expert (SME) process, such as an SME process that requires detailed information regarding a very large quantity of information about the SME process. In the process analysis computing system, a scenario selection engine extracts process factors and user factors from the input data. Based on the process factors and user factors, the scenario selection engine determines initial schedule data describing event stages and milestone stages included in the SME process, and also generates user-specific process schedule data based on a modification of the initial schedule data. A user-specific execution engine in the process analysis computing system receives the user-specific process schedule data. Based on a milestone stage dependency in the user-specific process schedule data, the process analysis computing system controls access to a requested resource associated with the SME process.

Process modeling techniques for providing user-specific process schedule data

A method may include retrieving, from a data store, an environment template data file; parsing the environment template data file to identify: path data; an amount of events; and display location information with respect to each event in the amount of events; accessing a user profile identifying scheduled events for a user; for a first event in the scheduled events for the user, predicting using at least one processor, a set of decisions associated with the first event, and a set of impact determinations for each respective decision in the set of decisions; generating, using the processing device, a user interface based on the path data, the amount of events, the display location information, the set of decisions associated with the first event, and the set of impact determinations for each respective decision in the set of decisions; and presenting the user interface on a computing device of the user.

Path-driven user interface

A method may include receiving, at a server device, a request from a third-party website over an application programming interface (API), the request including a user identification and an item identification; retrieving, at the server device, a set of goal data structures generated for a user profile of a user matching the user identification; matching, at the server device, the item identification to an identification within a goal data structure of the set of goal data structures, the goal data structure including a plurality of steps associated with the goal data structure; generating, at the server device, a response data structure including a status of each step of the plurality of steps associated with the goal data structure; and transmitting the response data structure to the third-party website.

System for electronic service interoperability

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San Francisco, CA, United States of America

Miriam Felecia Clark