Abstract
This critique evaluates the paper “AI into Business Automation: Practical Frameworks for Streamlining Operations” through the lens of international research standards, SaaS business practices, and 2025 market trends. The paper demonstrates strong alignment with global SaaS challenges, emphasizing modular cloud-native architectures, API integrations, and ethical AI governance. It effectively captures key industry applications and emerging AI technologies such as AI-RPA fusion and generative AI. However, notable gaps exist, including a predominantly U.S.-centric perspective, insufficient exploration of autonomous AI agents, and a lack of discussion on SaaS monetization models and continuous delivery pipelines. Additionally, the paper could benefit from deeper integration of no-code/low-code platforms and empirical case studies with quantifiable ROI metrics. To enhance its academic and practical impact, recommendations include expanding global market comparisons, detailing AI agent architectures, framing automation’s influence on SaaS revenue models, incorporating CI/CD and MLOps insights, and illustrating democratized automation through accessible low-code/no-code tools. These additions would position the paper as a comprehensive, forward-looking resource for the evolving AI-driven SaaS ecosystem in 2025.
Keywords
Machine Learning (ML), Ethical AI, AI Integration Framework, Robotic Process Automation (RPA), Business Automation, Artificial Intelligence [AI], AI Governance
Citations
IRE Journals:
Adnan Ghaffar
"AI into Business Automation: Practical Frameworks for Streamlining Operations" Iconic Research And Engineering Journals Volume 9 Issue 1 2025 Page 1502-1514
IEEE:
Adnan Ghaffar
"AI into Business Automation: Practical Frameworks for Streamlining Operations" Iconic Research And Engineering Journals, 9(1)
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