Modernizing Legacy Government Workflows Through Low-Code Appian BPM Platforms
Authors: Ajay Pandey
DOI: https://doi.org/10.37082/IJIRMPS.v14.i1.232981
Short DOI: https://doi.org/hbttx2
Country: United States
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Abstract: The digital infrastructure of the public sector is currently characterized by a widening gap between the requirements of modern governance and the capabilities of legacy information technology. This research report examines the strategic role of Low-Code Application Platforms (LCAP) and Business Process Management (BPM) systems, specifically the Appian platform, in facilitating the modernization of mission-critical government workflows. By analyzing the systemic challenges of technical debt, architectural rigidity, and security vulnerabilities inherent in decades-old monolithic systems, the study provides a comprehensive framework for transformation. Central to this analysis is the "intelligent BPM" (iBPM) lifecycle, which integrates hyperautomation and citizen development to enhance organizational agility. Technical deep-dives into Appian’s in-memory engine architecture and its unified Data Fabric reveal mechanisms for integrating disparate data sources without the risks associated with large-scale migration. Furthermore, the report explores the rigorous security mandates of the federal environment, including FedRAMP High and Department of Defense (DoD) Impact Level 5 (IL5) authorizations. Longitudinal case studies from the United States Air Force and the Marine Corps serve to validate the efficacy of these platforms in reducing operational costs and accelerating the delivery of citizen-centric services. The report concludes that a phased, low-code approach provides the most resilient path for government agencies striving to balance mission continuity with the imperative of digital innovation.
Keywords: Appian; Business Process Management (BPM); Low-Code; Legacy Modernization; Government Workflows; FedRAMP; DoD IL5; Digital Transformation; iBPM; Data Fabric
Paper Id: 232981
Published On: 2026-02-15
Published In: Volume 14, Issue 1, January-February 2026
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