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
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article

INNOVATIVE PROCESS AUTOMATION WITH CAMUNDA AND AI: ENHANCING DECISION-MAKING AND WORKFLOW EFFICIENCY

Zenodo (CERN European Organization for Nuclear Research)
Business Process Modeling and Analysis
article

INNOVATIVE PROCESS AUTOMATION WITH CAMUNDA AND AI: ENHANCING DECISION-MAKING AND WORKFLOW EFFICIENCY

article en

Abstract

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.

Zenodo (CERN European Organization for Nuclear Research)
Openalex Percentile: Top 46%
Business Process Modeling and Analysis
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INNOVATIVE PROCESS AUTOMATION WITH CAMUNDA AND AI: ENHANCING DECISION-MAKING AND WORKFLOW EFFICIENCY · Zenodo (CERN European Organization for Nuclear Research) (2024) | TGRS Research Map | TGRS