"Agentic AI" Gaining Interest in Industrial Sector for Business Efficiency
Jakarta (ANTARA) - The utilisation of Artificial Intelligence (AI) in the national industrial sector is beginning to transform from mere administrative tools (generative AI) towards Agentic AI, which refers to goal-based autonomous systems capable of coordinating operational tasks independently.
This development aligns with the government’s push to expand the creation of AI-based economic added value, amidst an AI adoption rate in Indonesia that has reached 92 per cent as of early 2026.
Head of ICT at Kalla Group, Razmal Djamal, stated in Jakarta on Wednesday that the demand for AI integration in the industrial sector is no longer limited to technological trials, but rather focuses on how to transform organisations so that data can generate measurable business value.
“Our focus goes beyond mere AI technology implementation. We are transforming organisations to consistently convert data and AI into measurable business value built upon a foundation of strong security, privacy, and governance,” said Razmal.
To explore operational efficiency, industrial players are beginning to implement rapid problem-mapping models (mini-hackathons) to test the proof of concept for AI agents before full-scale implementation. This step is considered effective in cutting research and development durations that typically take months.
Tridorian Enterprise Account Manager, Agung Pramana Yuda, assessed that the automation of repetitive tasks, simplification of reporting, and refinement of forecasting are the primary entry points for AI transformation within corporate operations.
“AI transformation does not require waiting months for a breakthrough. It begins by removing daily operational hurdles through the automation of repetitive tasks,” said Agung.
Although AI adoption among Indonesian companies continues to surge—as noted by the Microsoft Work Trend Index 2025, which shows 59 per cent of business leaders have utilised AI agents—the issue of AI governance remains a crucial challenge.
An IBM study shows that 93 per cent of business leaders in Indonesia are confident in their ability to implement AI, yet only 24 per cent have established a clear governance framework.
The government is currently drafting the National AI Roadmap 2026-2029 and an AI ethical framework to anticipate security risks, such as data leaks and prompt injection.
Previously, the Deputy Minister of Communication and Digital, Nezar Patria, reminded of the importance of establishing boundaries of authority and human-in-the-loop controls as AI shifts towards systems capable of making independent decisions.
Therefore, the integration of Agentic AI at the corporate level is required to focus on prototype innovation alongside compliance with data security standards, operational relevance, and sustainable risk mitigation.