Cyber University Lecturer Reveals Potential of Simple Agentic AI for Work Efficiency

Dedi Dwi Saputra, a lecturer at Cyber University's Information Technology program, has revealed the potential for implementing simple Agentic AI to enhance everyday work efficiency. By 2026, advancements in AI frameworks and tools are making it easier to deploy AI systems capable of independently planning, decision-making, and task execution, benefiting both industries and Micro, Small, and Medium Enterprises (MSMEs) in Indonesia.

Agentic AI represents a form of artificial intelligence that allows systems to perform a series of tasks more autonomously to achieve specific goals. Unlike generative AI, which produces text or images based on prompts, Agentic AI can plan steps, utilize external tools, make decisions, and execute tasks with minimal continuous human intervention. Its application can begin with routine and repetitive tasks that consume significant time, such as automated research, document processing, and office workflow automation.

This straightforward approach allows for the gradual adoption of Agentic AI, even by MSMEs aiming to increase productivity without immediately developing complex systems. Agentic AI can also be implemented through single-agent systems designed for a specific automated purpose, like a researcher agent that finds information online, reads articles, summarizes them, and compiles a structured report. Dedi explained that such an agent can be built by defining the task objective, assigning a role, and providing the necessary tools.

Frameworks like CrewAI, LangGraph, and AutoGen are available for building agents, while no-code and low-code tools such as n8n and Agno offer alternatives for users who prefer to create Agentic AI-based workflows without extensive coding. Potential applications include customer support, where AI agents can handle inquiries, analyze customer needs, find answers in a company's knowledge base, and draft responses for supervisor review. In manufacturing and logistics, this technology can monitor machine data, detect anomalies, and send maintenance notifications.