US 12,333,471 B2
Change management system and method
Kevin Carr, Milford, CT (US)
Assigned to Edera L3C, Washington, DC (US)
Filed by Edera L3C, Washington, DC (US)
Filed on Aug. 18, 2021, as Appl. No. 17/405,185.
Claims priority of provisional application 63/067,108, filed on Aug. 18, 2020.
Prior Publication US 2022/0058560 A1, Feb. 24, 2022
Int. Cl. G06Q 10/0637 (2023.01); G06F 40/30 (2020.01); G06Q 10/0631 (2023.01); G06Q 10/0635 (2023.01); G06Q 10/105 (2023.01); H04L 51/02 (2022.01)
CPC G06Q 10/0637 (2013.01) [G06F 40/30 (2020.01); G06Q 10/06313 (2013.01); G06Q 10/06315 (2013.01); G06Q 10/06316 (2013.01); G06Q 10/0635 (2013.01); G06Q 10/06375 (2013.01); G06Q 10/105 (2013.01); H04L 51/02 (2013.01)] 24 Claims
OG exemplary drawing
 
1. A computer-implemented method, executed on a computing device, comprising:
initiating a bespoke journey concerning a business process transition event, wherein the bespoke journey includes an event roadmap for guiding a user through a series of subevents concerning the business process transition event;
providing information concerning the bespoke journey to a plurality of recipients participating in the business process transition event;
enabling a virtual bot as a point-of-contact concerning the bespoke journey;
gathering information from the plurality of recipients concerning the bespoke journey via the virtual bot, wherein gathering information from the plurality of recipients concerning the bespoke journey includes iteratively prompting the plurality of recipients with the virtual bot via a user interface until the virtual bot determines that no further information is needed;
processing the information gathered from the plurality of recipients concerning the bespoke journey to gauge sentiment for a particular recipient concerning the bespoke journey by performing sentiment analysis on the information gathered from the plurality of recipients concerning the bespoke journey using a machine learning model to define a sentiment metric for the particular recipient for the bespoke journey;
adapting subsequent communication from the virtual bot for the particular recipient based upon, at least in part, the sentiment metric defined for the particular recipient for the bespoke journey;
in response to defining the sentiment metric for the particular recipient, identifying one or more issues concerning the bespoke journey based upon, at least in part, the sentiment metric for the particular recipient;
generating one or more recommendations for addressing the one or more issues identified concerning the bespoke journey; and
automatically implementing a recommendation from the one or more recommendations, wherein the recommendation includes modifying content of a subevent of the series of subevents within the bespoke journey that is provided to at least the particular recipient as part of the bespoke journey based upon, at least in part, the sentiment metric for the particular recipient.