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ISSN Approved Journal No: 2456-3315 | Impact factor: 8.14 | ESTD Year: 2016
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Impact Factor : 8.14

Issue per Year : 12

Volume Published : 11

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Paper Title: A Unified Migration Framework for Legacy CRM Workflow Modernisation Using Power Platform
Authors Name: Pradeep Raja
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IJRTI_210722
Published Paper Id: IJRTI2604006
Published In: Volume 11 Issue 4, April-2026
DOI: https://doi.org/10.56975/ijrti.v11i4.210722
Abstract: Legacy Customer Relationship Management (CRM) systems often rely on tightly coupled, rule-based workflows that inhibit scalability, agility, and intelligent automation. This paper proposes a Unified Migration Framework (UMF) for systematically modernizing legacy CRM workflows using low-code platforms, with Microsoft Power Platform used as the reference implementation. The framework decomposes monolithic CRM workflows into modular, event-driven components aligned with contemporary enterprise architecture principles. The proposed approach is evaluated using empirical observations from multi-industry CRM modernization initiatives spanning healthcare, financial services, and public-sector environments. Results indicate measurable improvements in workflow deployment time, operational reliability, and user adoption following migration. The paper further discusses governance, scalability, and automation considerations relevant to enterprise-scale CRM modernization. These findings position UMF as a repeatable architectural approach for organizations transitioning from legacy CRM workflows toward modular, low-code automation platforms.
Keywords: CRM modernisation, Microsoft Power Platform, Power Automate, legacy workflow migration, low-code development, Dataverse, workflow orchestration, AI Builder, Dynamics 365, enterprise automation, Centre of Excellence (CoE), customer relationship management.
Cite Article: "A Unified Migration Framework for Legacy CRM Workflow Modernisation Using Power Platform", International Journal for Research Trends and Innovation (www.ijrti.org), ISSN:2456-3315, Vol.11, Issue 4, page no.a40-a46, April-2026, Available :http://www.ijrti.org/papers/IJRTI2604006.pdf
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ISSN: 2456-3315 | IMPACT FACTOR: 8.14 Calculated By Google Scholar| ESTD YEAR: 2016
An International Scholarly Open Access Journal, Peer-Reviewed, Refereed Journal Impact Factor 8.14 Calculate by Google Scholar and Semantic Scholar | AI-Powered Research Tool, Multidisciplinary, Monthly, Multilanguage Journal Indexing in All Major Database & Metadata, Citation Generator
Publication Details: Published Paper ID: IJRTI2604006
Registration ID:210722
Published In: Volume 11 Issue 4, April-2026
DOI (Digital Object Identifier): https://doi.org/10.56975/ijrti.v11i4.210722
Page No: a40-a46
Country: -, -, India
Research Area: Engineering
Publisher : IJ Publication
Published Paper URL : https://www.ijrti.org/viewpaperforall?paper=IJRTI2604006
Published Paper PDF: https://www.ijrti.org/papers/IJRTI2604006
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ISSN: 2456-3315
Impact Factor: 8.14 and ISSN APPROVED, Journal Starting Year (ESTD) : 2016

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