Flowable blog
BPMN is dead, long live BPMN
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?
Measuring model complexity – Part 3: Introducing Complexity Analyzer
In this post, we continue our exploration of workflow complexity - learn how key metrics like activity count and control flow reveal natural groupings of models, making it easier to identify and improve overly complex designs.
Measuring model complexity – Part 2: Putting theory into practice
In this post, we continue our exploration of workflow complexity - learn how key metrics like activity count and control flow reveal natural groupings of models, making it easier to identify and improve overly complex designs.
Measuring model complexity – Part 1: Why less is often more
Simplifying process models boosts clarity and maintainability. This post explores how to identify and reduce model complexity using real-world examples and metrics, laying the groundwork for building a practical complexity analyser.
Orchestrated RPA: Bridging the Gap between Legacy Applications and Optimized End-To-End Automation
Optimizing end-to-end business automation can be a tall task for legacy systems that lack integration abilities such as APIs. But robotic process automation can provide a successful interim transition to replacing these when time to market is crucial.
Intelligent Document Processing with Flowable: Streamlining Content Automation
Enterprises need to process a large volume if documents daily — quickly and accurately. Flowable uses Intelligent Document Processing (IDP) to improve content processing and support enterprises in managing documents end-to-end.
Using CMMN to Go Beyond Case Management
CMMN was mainly designed with case management in mind to handle dynamic, human-driven processes, where the execution is not always a straight line, but might involve human decision to drive the process forward. But it can do way more than that.
Using AI with Flowable
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.
The Value of AI in Modeling
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.