AI-Enhanced Low-Code Workflow Automation: A Case Study in Content Management System

This paper presents a framework for automating CMS workflows using Microsoft Power Automate, integrating Strapi CMS for event-driven operations like validation and team notifications. Two sub-workflows were implemented: one via Strapi webhooks, the other via SharePoint. Both use AI Builder for automated validation, supporting faster and more consistent human review. Additionally, the OpenAI GPT-4.0 API analyzes execution logs and suggests workflow optimization. The feasibility of AI-enhanced low-code workflow automation in the context of Content Management System was evaluated. The results reported significant improvements in process efficiency, error reduction, and user satisfaction.

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Publication Details

Published
2025-07-18
DOI
https://doi.org/10.1109/icbase66587.2025.11181265
Primary Topic
Scientific Computing and Data Management
Type
article
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article

AI-Enhanced Low-Code Workflow Automation: A Case Study in Content Management System

Yachai Limpiyakorn, Apinya Khaensoongnern
Scientific Computing and Data Management
article

AI-Enhanced Low-Code Workflow Automation: A Case Study in Content Management System

Yachai Limpiyakorn, Apinya Khaensoongnern
article en

Abstract

This paper presents a framework for automating CMS workflows using Microsoft Power Automate, integrating Strapi CMS for event-driven operations like validation and team notifications. Two sub-workflows were implemented: one via Strapi webhooks, the other via SharePoint. Both use AI Builder for automated validation, supporting faster and more consistent human review. Additionally, the OpenAI GPT-4.0 API analyzes execution logs and suggests workflow optimization. The feasibility of AI-enhanced low-code workflow automation in the context of Content Management System was evaluated. The results reported significant improvements in process efficiency, error reduction, and user satisfaction.

Chulalongkorn University (TH)
Openalex Percentile: Top 73%
Scientific Computing and Data Management
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