ARCHITECTING ADAPTIVE DIGITAL PLATFORMS: A CASE STUDY OF SERVICENOW’S MODULAR ECOSYSTEM
DOI:
https://doi.org/10.34218/IJCET_16_01_161Keywords:
Artificial Intelligence Decision-Making, Enterprise Workflow Automation, Human-AI Collaboration, Intelligent Platform Architecture, ServiceNow IntelligenceAbstract
Adaptive digital platforms have emerged as critical enablers of business agility in the modern enterprise landscape. This article examines ServiceNow's modular ecosystem as a case study in platform architecture, exploring how its design principles facilitate scalable and customizable enterprise solutions. Through an analysis of ServiceNow's architectural evolution and implementation patterns, this article presents key insights into building resilient, extensible platforms that effectively bridge business requirements with technical capabilities. This article reveals how modular design, coupled with robust integration frameworks and flexible customization options, creates a foundation for continuous innovation. By examining real-world implementations across various industries, this article demonstrates how adaptive platforms can significantly enhance operational efficiency while supporting long-term digital transformation initiatives. This article contributes to the growing body of knowledge on enterprise platform architecture and provides practical guidelines for organizations embarking on similar digital transformation journeys.
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Copyright (c) 2025 Dilipkumar Devarahosahalli Jayaram (Author)
This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.
