IP Library › Granted Patent US 12670450

Granted Patent B2

US 12670450 · App. 18/790,959 · Granted Jun 30, 2026

Computer-based system for providing automatic streamline alerting by integrating with source of truths

Inventors: Naveen Kumar Kancham (McLean, VA); Naman Kaushal (McLean, VA); Jose M. Ortiz (McLean, VA); Rekha Sivakolundhu (McLean, VA); Vishi Cline (McLean, VA)

Assignee: Capital One Services, LLC

G06Q10/06311

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Quick Facts

Patent No.: US 12670450
App. No.: 18/790,959
Filed: Jul 31, 2024
Granted: Jun 30, 2026
Kind: B2
Examiner: GARCIA-GUERRA, DARLENE
Art Unit: 3625
USPC: 705/7.13

External Links

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Abstract

In certain embodiments, a system and accompanying method configured to provide automatic streamline alerting by integrating with source of truths and methods of use thereof is provided. In particular, the system detects a triggering condition, such as an anomaly affecting a computing system. An automated action is executed to attempt to resolve the triggering condition. An integrated source of truth system obtains data including mappings between responders and the computing system. Based on the data and by utilizing an artificial intelligence model, a prediction is generated for a schedule for at least one responder to resolve the triggering condition affecting the computing system. A notification is transmitted to the at least one transmitter in accordance with the schedule to resolve the triggering condition. The artificial intelligence model is then trained based on the prediction, the data, resolution of the triggering condition, other training data, or a combination thereof.

Claims (64)

1 . A system, comprising:

a memory that stores instructions; and

a processor that executes the instructions to cause the processor to be configured to:

detect at least one triggering condition affecting at least one enterprise computing system, at least one computer application, or a combination thereof;

execute, in response to the at least one triggering condition, an automated action via the at least one enterprise computing system to attempt to resolve the at least one triggering condition;

access a source of truth system to obtain data comprising at least one mapping between each responder of a plurality of responders and the at least one enterprise computing system, the at least one computer application, or the combination thereof, the at least one mapping being derived from observed responses by the plurality of responders, the plurality of responders being associated with at least one third-party;

generate, based on the data and by utilizing an artificial intelligence model, a prediction associated with a schedule for at least one responder of the plurality of responders to resolve the at least one triggering condition affecting the at least one enterprise computing system, the at least one computer application, or the combination thereof, wherein the prediction is based at least on the at least one mapping;

transmit, via the at least one third-party, based on the prediction and if the automated action via the at least one enterprise computing system fails to resolve the at least one triggering condition, a notification to the at least one responder in accordance with the schedule to resolve the at least one triggering condition affecting the at least one enterprise computing system, the at least one computer application, or the combination thereof;

detect, in response to the at least one responder responding to the notification, at least one resolution to the at least one triggering condition;

determine at least one update to the data associated with the at least one mapping; and

modify, based at least in part on the at least one update, the source of truth system to update the data comprising the at least one mapping between each responder of a plurality of responders and the at least one enterprise computing system, the at least one computer application, or the combination thereof to maintain real-time updates of third-party data to the source of truth system.

2 . The system of claim 1 , wherein the processor is further configured to:

determine at least one resolution step to recommend to the at least one responder to assist the at least one responder in resolving the at least one triggering condition affecting the at least one enterprise computing system, the at least one computer application, or a combination thereof.

3 . The system of claim 1 , wherein the processor is further configured to:

modify the prediction associated with the schedule in real-time based on receiving at least one signal associated with the plurality of responders, wherein the at least one signal provides an update to the data.

4 . The system of claim 1 , wherein the processor is further configured to:

dynamically remove or add responders from the plurality of responders as the data from the source of truth system changes over time.

5 . The system of claim 1 , wherein the processor is further configured to:

determine that the at least one triggering condition comprises:

detection of at least one anomaly associated with the at least one enterprise computing system, the at least one computer application, or a combination thereof, or

detection of a failure associated with the at least one enterprise computing system, the at least one computer application, or a combination thereof.

6 . The system of claim 1 , wherein the processor is further configured to:

integrate the source of truth system with the system, wherein the source of truth system comprises a team repository, a human resource system, an off-boarding and on-boarding database, historical incidents data, or a combination thereof.

7 . The system of claim 1 , wherein the processor is further configured to:

select the at least one responder of the plurality of responders based on the at least one mapping indicating that the at least one responder is capable of resolving the at least one triggering condition.

8 . The system of claim 1 , wherein the processor is further configured to:

detect at least one new triggering condition affecting the at least enterprise computing system, the at least one computer application, or a combination thereof;

access the source of truth system to obtain updated data; and

generate, based on the updated data and by utilizing the artificial intelligence model, a new prediction associated with the schedule for the at least one responder of the plurality of responders to resolve the at least one new triggering condition.

9 . The system of claim 1 , wherein the processor is further configured to:

determine whether the at least one responder resolved the at least one triggering condition; and

transmit, if the at least one responder did not resolve the at least one triggering condition, a different notification to a different responder from the plurality of responders to resolve the at least one triggering condition.

10 . The system of claim 9 , wherein the processor is further configured to:

output, if the at least one responder did resolve the at least one triggering condition, a confirmation on a graphical user interface of a device that the at least one triggering condition has been resolved.

11 . The system of claim 1 , wherein the automated action comprises:

execution of a reboot of the at least one enterprise computing system, the at least one computer application, or a combination thereof;

switching traffic away from the at least one enterprise computing system, the at least one computer application, or a combination thereof; or

execution of a self-healing operation on the at least one enterprise computing system, the at least one computer application, or a combination thereof.

12 . The system of claim 1 , wherein the processor is further configured to:

train the artificial intelligence model based on the prediction, an accuracy of the prediction, feedback associated with resolving the at least one triggering condition, the data, or a combination thereof.

13 . A computer-implemented method, comprising:

detecting, by utilizing instructions from a memory that are executed by at least one computing processor, at least one triggering condition affecting at least one enterprise computing system, at least one computer application, or a combination thereof;

executing, in response to the at least one triggering condition, by the at least one computing processor, an automated action via the at least one enterprise computing enterprise computing system to attempt to resolve the at least one triggering condition;

accessing, by the at least one computing processor, a source of truth system to obtain data comprising at least one mapping between each responder of a plurality of responders, the at least one enterprise computing system, the at least one computer application, or the combination thereof, the at least one mapping being derived from observed responses by the plurality of responders, the plurality of responders being associated with at least one third-party;

generating, by the at least one computing processor, based on the data and by utilizing an artificial intelligence scheduling model, a prediction associated with a schedule for at least one responder of the plurality of responders to resolve the at least one triggering condition affecting the at least one enterprise computing system, the at least one computer application, or the combination thereof, wherein the prediction is based at least on the at least one mapping in the data;

transmitting, by the at least one computing processor, based on the prediction and if the automated action via the at least one enterprise computing system fails to resolve the at least one triggering condition, a notification to the at least one responder in accordance with the schedule to resolve the at least one triggering condition affecting the at least one enterprise computing system, the at least one computer application, or the combination thereof;

detecting, by the at least one computer processor, in response to the at least one responder responding to the notification, at least one resolution to the at least one triggering condition;

determining, by the at least one computer processor, at least one update to the data associated with the at least one mapping; and

modifying, by the at least one computer processor, based at least in part on the at least one update, the source of truth system to update the data comprising the at least one mapping between each responder of a plurality of responders and the at least one enterprise computing system, the at least one computer application, or the combination thereof to maintain real-time updates of third-party data to the source of truth local system.

14 . The computer-implemented method of claim 13 , further comprising selecting the at least one responder from the plurality of responders to receive the notification to resolve the at least one triggering condition based on a most recent utilization of the at least one responder, at least one capability of the at least one responder, availabilities of the plurality of responders, or a combination thereof.

15 . The computer-implemented method of claim 13 , further comprising training the artificial intelligence model based on at least one action performed by the at least one responder with respect to the at least one triggering condition.

16 . The computer-implemented method of claim 13 , further comprising generating an updated prediction associated with the schedule in real-time as the data from the source of truth system changes.

17 . The computer-implemented method of claim 13 , further comprising selecting at least one other responder from the plurality of responders to resolve the at least one triggering condition if the at least one triggering condition is not resolved by the at least one responder.

18 . The computer-implemented method of claim 13 , further comprising determining an action taken by the at least one responder to resolve the at least one triggering condition.

19 . The computer-implemented method of claim 18 , further comprising automatically executing the action taken by the at least one responder to resolve the at least one triggering condition when the at least one triggering condition occurs on a subsequent occasion.

20 . A non-transitory computer-readable medium comprising computer instructions, which, when loaded and executed by a processor, cause the processor to be configured to:

detect at least one triggering condition affecting at least one enterprise computing system, at least one computer application, or a combination thereof;

execute, in response to the at least one triggering condition, an automated action via the at least one enterprise computing system to attempt to resolve the at least one triggering condition;

transmit, based on the prediction and if the automated action via the at least one enterprise computing system fails to resolve the at least one triggering condition, a notification to the at least one responder in accordance with the schedule to resolve the at least one triggering condition affecting the at least one enterprise computing system, the at least one computer application, or the combination thereof;

detect, in response to the at least one responder responding to the notification, at least one resolution to the at least one triggering condition;

determine at least one update to the data associated with the at least one mapping; and