Revolutionizing Customer Service: Adaptive Workflow Automation for Case Management

This comprehensive technical article examines the transformative potential of adaptive workflow automation in modernizing case management systems for customer service operations. The framework integrates Microsoft Power Platform capabilities with artificial intelligence to address persistent challenges, including lengthy resolution times, inconsistent protocol application, and fragmented multichannel experiences. By implementing intelligent routing algorithms, automated escalation protocols, predictive analytics, and omnichannel integration, organizations can significantly enhance operational efficiency while simultaneously improving customer satisfaction. The solution analyzes multiple dimensions, including ticket severity, SLA parameters, agent workloads, and historical performance to optimize case assignments and proactively identify at-risk cases before service failures occur. The article explores implementation benefits spanning resolution efficiency, compliance adherence, and employee satisfaction while addressing critical architectural considerations for successful deployment. Through phased implementation approaches that progressively expand capabilities, organizations can establish adaptable service infrastructures capable of evolving with changing customer expectations and technological capabilities.

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Publication Details

Journal
International Journal of Computing and Engineering
Published
2025-07-14
DOI
https://doi.org/10.47941/ijce.2941
Primary Topic
Business Process Modeling and Analysis
Type
article
Field-Weighted Citation Impact
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article

Revolutionizing Customer Service: Adaptive Workflow Automation for Case Management

Nishanth Kumar Reddy Kesavareddi
International Journal of Computing and Engineering
Business Process Modeling and Analysis
article

Revolutionizing Customer Service: Adaptive Workflow Automation for Case Management

Nishanth Kumar Reddy Kesavareddi
article en

Abstract

This comprehensive technical article examines the transformative potential of adaptive workflow automation in modernizing case management systems for customer service operations. The framework integrates Microsoft Power Platform capabilities with artificial intelligence to address persistent challenges, including lengthy resolution times, inconsistent protocol application, and fragmented multichannel experiences. By implementing intelligent routing algorithms, automated escalation protocols, predictive analytics, and omnichannel integration, organizations can significantly enhance operational efficiency while simultaneously improving customer satisfaction. The solution analyzes multiple dimensions, including ticket severity, SLA parameters, agent workloads, and historical performance to optimize case assignments and proactively identify at-risk cases before service failures occur. The article explores implementation benefits spanning resolution efficiency, compliance adherence, and employee satisfaction while addressing critical architectural considerations for successful deployment. Through phased implementation approaches that progressively expand capabilities, organizations can establish adaptable service infrastructures capable of evolving with changing customer expectations and technological capabilities.

International Journal of Computing and EngineeringVol. 7(8)
Murray State University (US)
Openalex Percentile: Top 71%
Business Process Modeling and Analysis
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Revolutionizing Customer Service: Adaptive Workflow Automation for Case Management — Nishanth Kumar Reddy Kesavareddi · International Journal of Computing and Engineering (2025) | TGRS Research Map | TGRS