Method and a system for managing business rules in a process enterprise

A system for managing a plurality of business rules in a process enterprise, the system comprises:

• one or more processors;
• and
• a memory, wherein the memory stores processor-executable instructions, which, on execution, cause the one or more processors to:
• receive an input from a user, for managing one or more business rules from the plurality of business rules associated with the process enterprise, wherein the plurality of business rules is stored as a rule-based logic in a database associated with the system;
• parse the input to derive one or more business keywords from the input, wherein the parsing includes applying at least one of a segmentation operation, tokenization operation, lemmatization operation, or stemming operation to the input;
• map the one or more business keywords to one or more technical keywords to provide an update for pre-stored mapping information including a mapping of one or more pre-defined business keywords to one or more pre-defined technical keywords but not including the mapping of the one or more business keywords to the one or more technical keywords;
• store the mapping of the one or more business keywords to one or more technical keywords to update the pre-stored mapping information;
• identify, using a Natural Language Processing (NLP) model, the one or more technical keywords corresponding to the one or more business keywords based the stored mapping;
• identify at least one business rule from the plurality of business rules based on the one or more identified technical keywords;
• identify one or more actions to be performed on the at least one business rule, based on the input;
• and
• update, the at least one business rule from the plurality of business rules, based on the one or more actions, thereby managing the plurality of business rules associated with the process enterprise.

A non-transitory computer readable medium including instructions stored thereon that when processed by one or more processors cause a system to:

• receive an input from a user, for managing one or more business rules from a plurality of business rules associated with a process enterprise, wherein the plurality of business rules is stored as a rule-based logic in a database associated with the system;
• parse the input to derive one or more business keywords from the input, wherein the parsing includes applying at least one of a segmentation operation, tokenization operation, lemmatization operation, or stemming operation to the input;
• map the one or more business keywords to one or more technical keywords to provide an update for pre-stored mapping information including a mapping of one or more pre-defined business keywords to one or more pre-defined technical keywords but not including the mapping of the one or more business keywords to the one or more technical keywords;
• store the mapping of the one or more business keywords to one or more technical keywords to update the pre-stored mapping information;
• identify, using a Natural Language Processing (NLP) model, the one or more technical keywords corresponding to the one or more business keywords based on the stored mapping;
• identify at least one business rule from the plurality of business rules based on the one or more identified technical keywords;
• identify one or more actions to be performed on the at least one business rule, based on the input;
• and
• update, the at least one business rule from the plurality of business rules, based on the one or more actions, thereby managing the plurality of business rules associated with the process enterprise.