US 12,299,427 B1
Generating degree of development of structured processes using automatically calibrated queries
Sarika Pal, Bangalore (IN); Anish Goswami, Pune (IN); Vaibhav Mangla, Delhi (IN); Vignesh N, Chennai (IN); Vinod Morya, Pilibhit (IN); Prince Tyagi, Ghaziabad (IN); Divyam Bansal, Palwal (IN); Tirthankar Ghosh, Kolkata (IN); Nagubadi Trinadh, Hyderabad (IN); and Pulluri Vamshi Rao, Jayashankar Bhupalpally (IN)
Assigned to ExlService Holdings, Inc., New York, NY (US)
Filed by ExlService Holdings, Inc., New York, NY (US)
Filed on Oct. 22, 2024, as Appl. No. 18/923,539.
Int. Cl. G06F 3/048 (2013.01); G06F 8/60 (2018.01); G06F 9/451 (2018.01); G06F 9/455 (2018.01); G06F 16/951 (2019.01); G06Q 10/00 (2023.01); G06Q 99/00 (2006.01)
CPC G06F 8/60 (2013.01) [G06F 9/451 (2018.02)] 20 Claims
OG exemplary drawing
 
1. A computer-implemented method for automatic query calibration in sequenced models used to generate system actions in managing process deployments, the method comprising:
obtaining, by a graphical user interface (GUI) of a computing engine, a set of input data from one or more process management systems defining a workflow,
wherein the set of input data includes a set of observed task board information item properties of a set of task board information items associated with the workflow;
using the obtained set of input data, dynamically identifying, using a first trained artificial intelligence (AI) model, a set of actions from the workflow to be executed;
using the identified set of actions, dynamically classifying, using a second trained AI model, a particular dimension of the set of task board information items of the workflow into a degree of completion by, for the particular dimension of the set of task board information items:
dynamically generating a set of queries configured to operate as an input into the second AI model,
wherein the set of queries comprises two or more of: (1) the set of observed task board information item properties of the particular dimension, (2) a set of expected task board information item properties of the particular dimension, or (3) a set of pre-loaded query contexts defining one or more task board information items of the set of task board information items, and
using the set of queries, mapping, via the second AI model, the particular dimension of the workflow to the degree of completion,
wherein the second AI model is configured to, responsive to receiving the generated set of queries, compare the set of observed task board information item properties of the particular dimension with the set of expected task board information item properties of the particular dimension, and
wherein the degree of completion is configured to indicate a quantity of executed actions of the set of actions of the workflow for the particular dimension; and
generating for display at the GUI of the computing engine, a graphical layout indicating the degrees of completion, wherein the graphical layout includes a first graphical representation of the particular dimension of the set of task board information items and a second graphical representation of a corresponding degree of completion for the particular dimension of the set of task board information items.