Method and system for dynamically changing process flow of a business process

Patent metadata

Field	Value
Publication number	US-2016239770-A1
Application number	US-201514672165-A
Country	US
Kind code	A1
Filing date	Mar 28, 2015
Priority date	Feb 13, 2015
Publication date	Aug 18, 2016
Grant date	—

Abstract

A method and system for dynamically modifying a process flow associated with an end to end process is disclosed. The method comprises receiving a trigger event associated with the end to end process; monitoring at least one process state resulting from the at least one trigger event; determining at least one of a user context, a process-event context, a process context, and an environment context for the at least one process state on detecting the at least one trigger event; defining, dynamically one or more configurable business rules based on the at least one of the user context, the process-event context, the process context, and the environment context using artificial intelligence and machine learning; and performing a process state change based on the one or more configurable business rules.

First claim

What is claimed is:

1 . A method of dynamically modifying a process flow associated with an end to end process, the method comprising:
receiving, by a dynamic business process engine, a trigger event associated with the end to end process; monitoring, by the dynamic business process engine, at least one process state resulting from the at least one trigger event; determining, by the dynamic business process engine, at least one of a user context, a process-event context, a process context, and an environment context for the at least one process state on detecting the at least one trigger event; defining, dynamically by the dynamic business process engine, one or more configurable business rules based on the at least one of the user context, the process-event context, the process context, and the environment context using artificial intelligence and machine learning; and performing, by the dynamic business process engine, a process state change based on the one or more configurable business rules.

2 . The method of claim 1 further comprising abstracting process state functionalities as micro-services to be consumed by a consumer.

3 . The method of claim 1 further comprising orchestrating the at least one trigger event and a corresponding process state change.

4 . The method of claim 3 , wherein the orchestration ensures compliance of Service Level Agreements (SLAs) associated with the end to end process.

5 . The method of claim 1 , further comprising detecting anomalous activities associated with the end to end process by comparing real time user activities with the at least one of the user context, the process-event context, the process context, and the environment context.

6 . The method of claim 1 , further comprising rendering one or more of the user activities, the user context, the process-event context, the process context, and the environment context on a dashboard.

7 . The method of claim 1 , wherein defining the one or more configurable business rules comprises at least one of adding a business rule, removing a business rule, and modifying a pre-defined business rule.

8 . A dynamic business process engine for dynamically modifying a process flow associated with an end to end process comprising:
one or more processors; a memory, wherein the memory coupled to the one or more processors which are configured to execute programmed instructions stored in the memory comprising:
receiving a trigger event associated with the end to end process;
monitoring at least one process state resulting from the at least one trigger event;
determining at least one of a user context, a process-event context, a process context, and an environment context for the at least one process state on detecting the at least one trigger event;
defining, dynamically, one or more configurable business rules based on the at least one of the user context, the process-event context, the process context, and the environment context using artificial intelligence and machine learning; and
performing a process state change based on the one or more configurable business rules.

9 . The engine as set forth in claim 8 further comprising an Application Program Interface (API) hub to abstract process state functionalities as micro-services to be consumed by a consumer.

10 . The engine as set forth in claim 8 further comprising an event broker to orchestrate the at least one trigger event and a corresponding process state change.

11 . The engine as set forth in claim 10 , wherein the orchestration ensures compliance of Service Level Agreements (SLAs) associated with the end to end process.

12 . The engine as set forth in claim 8 , wherein the programmed instructions further comprise instructions to detect anomalous activities associated with the end to end process by comparing real time user activities with the at least one of the user context, the process-event context, the process context, and the environment context.

13 . The engine as set forth in claim 8 further comprising a dashboard to render one or more of the user activities, the user context, the process-event context, the process context, and the environment context.

14 . The engine as set forth in claim 8 , wherein defining the one or more configurable business rules comprises at least one of adding a business rule, removing a business rule, and modifying a pre-stored business rule.

15 . A non-transitory computer readable medium having stored thereon instructions for dynamically modifying a process flow associated with an end to end process comprising machine executable code which when executed by at least one processor, causes the processor to perform steps comprising:
receiving a trigger event associated with the end to end process; monitoring at least one process state resulting from the at least one trigger event; determining at least one of a user context, a process-event context, a process context, and an environment context for the at least one process state on detecting the at least one trigger event; defining, dynamically, one or more configurable business rules based on the at least one of the user context, the process-event context, the process context, and the environment context using artificial intelligence and machine learning; and performing a process state change based on the one or more configurable business rules.

16 . The medium as set forth in claim 15 further comprising instructions for abstracting process state functionalities as micro-services to be consumed by a consumer.

17 . The medium as set forth in claim 15 further comprising instructions for orchestrating the at least one trigger event and a corresponding process state change.

18 . The medium as set forth in claim 15 further comprising instructions for detecting anomalous activities associated with the end to end process by comparing real time user activities with the at least one of the user context, the process-event context, the process context, and the environment context.

19 . The medium as set forth in claim 15 further comprising instructions for rendering one or more of the user activities, the user context, the process-event context, the process context, and the environment context on a dashboard.

20 . The medium as set forth in claim 15 , wherein defining the one or more configurable business rules comprises at least one of adding a business rule, removing a business rule, and modifying a pre-defined business rule.

Assignees

• Batabyal Ritwik
• Srivastava Anurag
• Kurien Tekkethalakal
• Wipro Ltd

Inventors

• Batabyal Ritwik
• Srivastava Anurag
• Kurien Tekkethalakal

Classifications

• G06F9/542

  Event management; Broadcasting; Multicasting; Notifications · CPC title

• G06Q10/0633 Primary

  Workflow analysis · CPC title