From Laws and Regulations to Decision Automation

Presented By

Tom DeBevoise
Simon Ringuette

Description

Regulations are a set of obligations that apply to corporations and individuals. They can be established through laws or under the authority of a governing body. Regulations may explicitly define processes and rules, but often they prescribe outcomes or performances without detailing how to achieve them.

When an organization must comply with a regulation, it aligns its operations with the obligations specified in the regulation. Compliance is the action of ensuring this alignment. However, demonstrating compliance can be a challenge because organizations must be able to trace their implementation back to the regulation.

To create traceability, a knowledge entity model (KEM) is developed. This model represents the regulation using vocabulary, concept maps, and business rules. The KEM is derived from the text of the regulation, breaking it down into vocabulary terms, concept connections, and business rules.

Using the KEM, an automated solution can be created using decision automation and business process automation (DMN and BPMN). This solution links the business rules to the decision or process as a knowledge source, creating a traceable solution.

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