Continuous monitoring performance engine
AssigneePwC Product Sales LLC
InventorsSaurabh SARBALIYA, Adam STAFFORD
Life of this patent
Estimating the term…
Abstract
A method for optimizing one or more enterprise processes comprises ingesting enterprise data into a database; identifying one or more opportunities for improving one or more enterprise processes; executing one or more process optimizations using one or more process optimization models, wherein executing the one or more process optimizations comprises: inputting the ingested enterprise data into the one or more process optimization models trained to generate recommended process adjustments, outputting one or more recommended process adjustments generated using the one or more process-optimization models, and adjusting the one or more processes based on the one or more recommended adjustments.
Claims26
A method for optimizing one or more processes using agentic artificial intelligence, the method comprising:
- ingesting enterprise data into a database;
- executing one or more process optimizations using one or more process optimization models, wherein executing the one or more process optimizations comprises:
- inputting the ingested enterprise data into the one or more process optimization models trained to generate recommended process adjustments,
- outputting one or more recommended process adjustments generated using the one or more process optimization models;
- inputting the one or more recommended process adjustments into a generative AI simulation;
- simulating, by the generative AI simulation, one or more processes based on the one or more recommended process adjustments to obtain one or more predicted process outcomes;
- and
- selecting, using one or more AI agents, at least one of the recommended process adjustments based on the one or more predicted process outcomes;
- and
- autonomously adjusting the one or more processes based on the one or more recommended process adjustments using one or more AI agents.
A system for optimizing one or more processes using agentic artificial intelligence, the system comprising:
- one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including instructions for:
- ingesting enterprise data into a database;
- executing one or more process optimizations using one or more process-optimization models, wherein executing the one or more process optimizations comprises:
- inputting the ingested enterprise data into the one or more process-optimization models trained to generate recommended process adjustments,
- outputting one or more recommended process adjustments generated using the one or more process optimization models,
- inputting the one or more process recommended process adjustments into a generative AI simulation;
- simulating, by the generative AI simulation, one or more processes based on the one or more recommended process adjustments to obtain one or more predicted process outcomes;
- selecting at least one of the recommended process adjustments based on the one or more predicted process outcomes;
- and
- adjusting the one or more processes based on the one or more selected adjustments.
A non-transitory computer-readable storage medium storing one or more programs for optimizing one or more processes using agentic artificial intelligence, the one or more programs comprising instructions, which when executed by one or more processors of an electronic device, cause the electronic device to:
- ingest enterprise data into a database;
- execute one or more process optimizations using one or more process-optimization models, wherein executing the one or more process optimizations comprises:
- inputting the ingested enterprise data into the one or more process-optimization models trained to generate recommended process adjustments,
- outputting one or more recommended process adjustments generated using the one or more process optimization models,
- inputting the one or more process recommended process adjustments into a generative AI simulation;
- simulate, by the generative AI simulation, one or more processes based on the one or more recommended process adjustments to obtain one or more predicted process outcomes;
- select at least one of the recommended process adjustments based on the one or more predicted process outcomes;
- and
- adjust the one or more processes based on the one or more selected adjustments.
Dependencies are inferred from the claim text.