IDEAS home Printed from https://ideas.repec.org/a/jbh/ijsrcs/v11y2025i1id679.html

Workflow Automation Engines: Driving Innovation in Cloud-Native and AI-Enhanced Business Processes

Author

Listed:
  • Siva Prakash Bikka

Abstract

This comprehensive article examines the evolution and impact of workflow automation engines in modern business environments, focusing on their integration with cloud-native technologies and artificial intelligence. The article explores how these engines serve as fundamental enablers of digital transformation, offering organizations enhanced operational efficiency, process consistency, and scalability. The article shows various industry applications across healthcare, financial services, e-commerce, manufacturing, and public sectors, demonstrating the versatile benefits of workflow automation. It analyzes emerging trends, including AI integration, low-code/no-code platforms, hyperautomation, and cloud-native optimization, while addressing strategic implementation considerations such as cloud infrastructure integration, AI decision point orchestration, scalability planning, and cross-platform standardization. Through extensive analysis of real-world implementations and industry data, the article highlights how workflow automation engines have revolutionized business processes, enabling organizations to achieve operational excellence while maintaining flexibility and adaptability in an increasingly digital business landscape.

Suggested Citation

  • Siva Prakash Bikka, 2025. "Workflow Automation Engines: Driving Innovation in Cloud-Native and AI-Enhanced Business Processes," International Journal of Scientific Research in Computer Science, Engineering and Information Technology, International Journal of Scientific Research in Computer Science, Engineering and Information Technology, vol. 11(1), pages 282-289, February.
    • Handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:679
    DOI: 10.32628/CSEIT25111227
    Note: Article URL: https://ijsrcseit.com/home/article/view/CSEIT25111227
    as

    Download full text from publisher

    File URL: https://ijsrcseit.com/home/article/view/CSEIT25111227
    File Function: Article URL
    Download Restriction: no
    File URL: https://ijsrcseit.com/home/article/download/CSEIT25111227/CSEIT25111227
    File Function: Full text
    Download Restriction: no
    File URL: https://libkey.io/10.32628/CSEIT25111227?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    More about this item

    Keywords

    ;
    ;
    ;
    ;
    ;

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:jbh:ijsrcs:v11:y2025:i1:id:679. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Pankaj Sharma (USA) (email available below). General contact details of provider: https://ijsrcseit.com/home .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.