US 12,443,155 B2
Apparatuses and methods for actualizing future process outputs using artificial intelligence
Barbara Sue Smith, Toronto (CA); and Daniel J. Sullivan, Toronto (CA)
Assigned to The Strategic Coach Inc., Toronto (CA)
Filed by Strategic Coach, Toronto (CA)
Filed on May 2, 2023, as Appl. No. 18/142,536.
Prior Publication US 2024/0369979 A1, Nov. 7, 2024
Int. Cl. G05B 13/04 (2006.01); G06N 3/08 (2023.01); G06N 3/09 (2023.01); G06N 20/00 (2019.01)
CPC G05B 13/042 (2013.01) [G06N 3/08 (2013.01); G06N 3/09 (2023.01); G06N 20/00 (2019.01)] 16 Claims
OG exemplary drawing
 
1. An apparatus for actualizing future process outputs using artificial intelligence, the apparatus comprising:
at least a processor; and
a memory communicatively coupled to the at least a processor, the memory containing instructions configuring the at least a processor to:
receive input data comprising cluster data, wherein the cluster data comprises data associated with each user of a clustered group of users, wherein the clustered group comprises an organized body, wherein the cluster data comprises user role data comprising data associated with a current role of each user within the organized body;
identify at least one future process output as a function of the input data, wherein identifying the at least one future process output as a function of the input data comprises:
receiving user training data;
training a future process output machine learning model as a function of the user training data; and
generating a plurality of future process outputs using the trained future process output machine learning model;
determine a highest priority future process output of the plurality of future process outputs using a linear program configured to optimize a linear objective function performed by the at least a processor, given at least a user constraint;
classify the highest priority future process output into one or more objective groups as a function of an objective group classifier;
determine at least an actualization item as a function of the one or more objective groups and the highest priority future process output;
determine at least a process parameter as a function of the highest priority future process output; and
generate an objective output as a function of the at least a process parameter.