Flowable blog

Tools like ChatGPT can handle a variety of business tasks, automating nearly everything. And it’s true, GenAI really can do a wide range of tasks that humans do currently. Why not let business users work directly with AI then? And what about Agentic AI?

In the past few months, this has culminated into a clear understanding of the strengths and weaknesses of the Generative AI (GenAI) technology; and where it makes sense to integrate with it and – perhaps more important – where it doesn’t make sense.

As AI gains prominence as a pivotal technology and enterprises increasingly seek to leverage its capabilities, we are actively exploring diverse avenues for integrating AI into process automation.

The key to managing complexity is to combine different and multiple tools leads to better, faster, and more maintainable solutions. For example, combining BPMN with CMMN.

Discover the reasons behind our brand-new Flowable eLearning platform and explore its features by registering for our inaugural free course.

Data is a crucial part of modeling and executing cases and processes. Our new module, Data Dictionary, empowers modelers to define which data structures and constraints are needed in the case or process model and all its child models.

The new Flowable Design shines with a completely new user interface whilst maintaining backward compatibility to the previous version. In this article, we highlight some of the new features and technical details.

In this blog post, we look at some of the ways an integration between ChatGPT and Flowable could enhance case and process automation as well as user experience.

This post explores error handling in BPMN models. Techniques include centralized error handling, support for BPMN erros in execution and task listeners, enhancing BPMN model maintainability and effectiveness.