Dynamic Business Process Management and Technology

BPM Explained

In DBPM, the process workers or autonomous artificial intelligence can adapt the process while it is performed, without having to go through the re-implementation stage.

Dynamic Business Process Management

In the previous blog, we discussed Business Process Management (BPM) through the stages involved in continuous process optimization. In this post we will discuss BPM and the new standard that comes with it today: Dynamic Business Process Management (DBPM).

BPM and Digital Transformation

In the digital age, the opportunities that technology brings to the table in all areas of the organization cannot be ignored. Digital transformation is essential for organizations aiming to utilize all tools available to develop the most efficient and effective business processes possible. 

Straightforward and linear processes developed through traditional BPM will not suffice for organizations of today and the near future. It is best if process management is not approached with a one-size-fits-all solution. Processes may often flow better if a degree of customization, adaptation or repetition is possible. This new approach to BPM is called Dynamic BPM (DBPM).

Dynamic BPM and Software

In DBPM, the process workers or autonomous artificial intelligence can adapt the process while it is performed, without having to go through the re-implementation stage. This is done through developing a variety of process scenarios, which help to reach the desired results more efficiently through process adaptation. While Business Process Management Software (BPMS) can be highly useful in traditional BPM, it becomes essential when aiming for dynamic processes. 

BPM software can map and model the process, is able to automate (a part of) the process, aids in monitoring the process and analyze flows, and can be implemented to work with existing technologies and legacy systems. BPM software is, at its core, an automation tool that utilizes various technologies to aid organizations in process optimization. RPA technology for example can handle decision making based on an input of structured data and process rules, constraints, and conditions. It can take over repetitive tasks which allow knowledge workers to focus on other tasks where automation is not (yet) possible. It removes human errors within the process. 

Besides this, most BPM software has evolved into low-code platforms, allowing organizations to implement automation platforms while minimizing development hours. Low code allows anyone who is involved in a process, to participate in human-centric software interactions. By capturing processes into models rather than into code, and using business-native terminology, process stakeholders can take ownership of the digitally transformed process.

Both RPA and low code are the future of BPMS, and the Be Informed Intelligent Automation Platform incorporates both. It aids organizations in process automation, improving compliance, decreasing risks, and orchestrating systems, channels and data sources. The Be Informed platform is the basis for digitally evolving organizations which aim to elevate business processes to higher levels. 

Let us show you what we can do!


  1. Szelągowski, Marek. (2018). Evolution of the BPM Lifecycle.
  2. Bloomberg, Jason. (2019). Whatever Happened To Business Process Management Software?

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