INNOVATIVE PROCESS AUTOMATION WITH CAMUNDA AND AI: ENHANCING DECISION-MAKING AND WORKFLOW EFFICIENCY
Automating business processes has become crucial for any organization, which is seeking to improve business processes and make better decisions in rapidly changing contexts. Typically, well-established Business Process Management (BPM) tools effectively monitor and address business processes but need to reflect the flexibility to tailor decisions spontaneously. This paper presents a new approach to further improving the Camunda BPM platform through the incorporation of Artificial Intelligence (AI). The system is fine-tuned with hundreds of these rules, which REST APIs connect in the AI Decision Layer. This results in improved accuracy, speed, and efficiency, particularly when presented with evolving situations. An illustrative scenario in financial compliance provides the details of its usability; it has increased the decision accuracy of the system by 20% and reduced its response time by 30%. Potential avenues for future studies in scaling and deploying CVA and interpretability are highlighted as the ways to build on this study’s findings and contribution.
Publication Details
- Journal
- Zenodo (CERN European Organization for Nuclear Research)
- Published
- 2024-12-21
- DOI
- https://doi.org/10.5281/zenodo.14573933
- Primary Topic
- Business Process Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00