UiPath and other leaders say agentic automation enables problem-solving beyond the limits of traditional automation.
Organisations across sectors are turning to agentic automation—an emerging class of AI systems designed to think, plan, and act autonomously to solve complex, multi-step problems.
Unlike traditional automation tools, which follow rigid rules, agentic systems use large language models (LLMs) and robotic process automation (RPA) to navigate ambiguity and make contextual decisions.
‘Agentic automation is the next generation of automation,’ said UiPath VP Robbie Mackness. ‘It’s about creating systems that can observe, reason, and act with minimal human input.’
Early adopters include the financial sector, where over 25% of firms plan to deploy agentic solutions this year, according to Bank Automation News.
Companies like BlackLine are using it to automate high-judgement accounting tasks, while public sector agencies like the US Navy are trialling the technology for logistics and admin workloads. The recruitment industry is also exploring AI agents for candidate screening and initial assessments.
Experts caution that success depends on identifying the right use cases and implementing proper governance. Still, the potential is clear: agentic automation could unlock entirely new capabilities and redefine how complex work gets done.
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