US 12,380,166 B2
Process flow data parameters
Harold Hambrose, New York, NY (US); Scott Dombkowski, Brooklyn, NY (US); and Max Stropkay, Queens, NY (US)
Assigned to Zenda, LLC, New York, NY (US)
Filed by Zenda, LLC, New York, NY (US)
Filed on Mar. 20, 2024, as Appl. No. 18/611,297.
Application 18/611,297 is a continuation in part of application No. 18/392,554, filed on Dec. 21, 2023.
Claims priority of provisional application 63/458,306, filed on Apr. 10, 2023.
Claims priority of provisional application 63/435,634, filed on Dec. 28, 2022.
Prior Publication US 2024/0256609 A1, Aug. 1, 2024
Int. Cl. G06F 16/901 (2019.01); G06F 16/9038 (2019.01)
CPC G06F 16/9024 (2019.01) [G06F 16/9038 (2019.01)] 21 Claims
OG exemplary drawing
 
15. A non-transitory computer-readable medium for determining whether a first process element supports at least a second process element, comprising instructions stored thereon, that when executed on a processor, perform the steps of:
receive an entry of one or more initial sets of traits for each of the first process element and the at least the second process element, wherein each of the one or more initial sets of traits for the first process element and the at least the second process element include a plurality of individual traits, wherein each individual trait of the plurality of individual traits is representative of a qualitative aspect or a human aspect of the first process element and the at least the second process element, and wherein each of the one or more sets of traits for each of the first process element and the at least the second process elements are not computationally comparable;
separately compute one or more initial characteristics for each of the first process element and the at least the second process element based on the obtained one or more traits for the at least first and second process elements, wherein the separately computed one or more initial characteristics for each of the first process element and the at least the second process element comprise computationally comparable profiles of the qualitative and/or human aspects of the first process element and the at least the second process element;
based on the separately computed one or more initial characteristics for each of the first process element and the at least the second process element, automatically determine whether the first process element supports the at least the second process element; and
continuously monitor whether the first process element and the at least the second process element support each other based on continuously received entries of one or more supplemental sets of traits for at least one of the first process element and the at least the second process element.