Strategic Design with AI Agents, Predefined Workflows and Agentic AI

Authors

  • Chandrababu C Nallapareddy

Keywords:

Artificial intelligence (AI) agents, application development, complex environments, real-time inputs, autonomous systems, data-driven learning, traditional workflows, rule-based logic, system predictability, cost-effectiveness, maintainability, trade-offs, integration strategies, practical guidance, context-aware decision-making, workflow optimization, solution architecture.

Abstract

Artificial Intelligence (AI) agents are transforming application development by enabling adaptive decision-making and dynamic interactions in complex environments. These agents can learn from data, respond to real-time inputs, and operate autonomously, making them powerful for scenarios requiring flexibility and contextual intelligence. However, AI agents are not always the optimal choice. In many cases, predefined workflows structured, rule-based processes deliver greater predictability, cost-efficiency, and maintainability. Recent advances have introduced Agentic AI, a paradigm that blends the adaptability of AI agents with long-term planning, persistent memory, and tool integration. This paper compares AI agents, predefined workflows, and Agentic AI, analyzing their respective strengths, trade-offs, and ideal use cases. It also explores hybrid architectures that combine these approaches, providing practical guidance for selecting the most effective solution based on context, complexity, and operational goals.

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References

S. Russell and P. Norvig, Artificial Intelligence: A Modern Approach, 4th ed., Pearson, 2020.

M. Dumas, M. La Rosa, J. Mendling, and H.A. Reijers, Fundamentals of Business Process Management, 2nd ed., Springer, 2018.

H. Mialon, A. Chan, Y. Bai, et al., "AgentBench: Evaluating LLMs as Agents," arXiv preprint arXiv: 2308.11459, 2023.

OpenAI, "GPT-4 Technical Report," 2023.

Mandar Kulkarni. Agent‑S: LLM Agentic workflow to automate Standard Operating Procedures, 2025.

Chen Qian et al. ChatDev: Communicative Agents for Software Development, ACL 2024.

Vaibhav Tupe & Shrinath Thube. AI Agentic Workflows and Enterprise APIs, arXiv preprint, 2025.

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Published

19.04.2025

How to Cite

Chandrababu C Nallapareddy. (2025). Strategic Design with AI Agents, Predefined Workflows and Agentic AI. International Journal of Intelligent Systems and Applications in Engineering, 13(1), 445 –. Retrieved from https://www.ijisae.org/index.php/IJISAE/article/view/7833

Issue

Vol. 13 No. 1 (2025)

Section

Research Article

License

Creative Commons License

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