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Adaptive case management with BPM

21 Aug 2018 - Mickey Farrance

Adaptative Case Management  with BPM-based applications helps accelerate digital transformation

Although it might look on the surface as if structured Business Process Management and unstructured Adaptive Case Management are incompatible, it's actually possible - and desirable - to use a BPM platform to manage case-centric (adaptive) issues.

With an unstructured process and a foundational, generic, structured process, a BPM platform provides native flexibility and business rules to handle each case with its particular circumstances. Real-time analytics and rules and decision management enable situational adaptive business processes — optimizing the set and sequence of tasks performed throughout the case lifecycle.

Ad hoc tasks and process fragments can be initiated by knowledge workers, and can also be triggered automatically by business rules according to context.

Administrators/managers can control who has the ability to create and manage tasks and process fragments, and again business rules determine when the task is presented and who can see / act on it.

A BPM platform can also manage structured data through Business Data Management, along with unstructured data such as PDF documents and comments.

This webinar shows an example of a case-centric approach with Bonita: how to manage a report of credit card fraud.  A bank manager can investigate, validate, and counteract each unique case of fraudulent activity. In our example, a bank gets a call from a customer who has spotted a fraudulent transaction on their credit card statement. Handling this requires flexibility on the part of the manager as each incident of fraud has unique circumstances.

Adaptative Case Management is more and more relevant within application development an contributes to accelerating digital transformation.

Want to know more? This video explains Adaptive Case Management with Bonita, and shows an example of a case-centric approach, with a focus on data and files as the drivers of process execution.