As organisations prepare for digital transformation in 2026, agentic AI is rapidly evolving the potential of enterprise automation. Unlike traditional robotic process automation (RPA) which relies on predefined tasks, agentics AI autonomously acts on behalf of users, making decisions and adapting to dynamic environments. This shift enables organisations to move from task-level automation to end-to-end process intelligence. Matthew Tan, principal solution engineer at UiPath Southeast Asia, states that agentic process automation will continue to deliver value due to its access to legacy and modern systems. CIOs must align agenticAI initiatives with overarching business objectives and ensure that the use case must directly tie to measurable outcomes. The rise of agentic agents operating within legal boundaries and ethical boundaries is also a significant issue.
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