The new IDC Infobrief, sponsored by UIPATH (NYSE: PATH), a Global Leader Inagenic Automation, revealed that 41% of Australian organizations are already using Agent AI, and an additional 50% plan to use it in the next six months.
This uptake is supported by strong investments. 47% of Australian organizations already have an established spending plan for Agent AI. 78% are willing to pay up to 50% premium to realize that value across the business. C-Suite leaders also have high expectations, with many targeting a return on investment three times more than Agent AI.
These findings reveal a clear shift from AI experiments to enterprise-wide automation. This is because organizations are trying to expand innovation and stay competitive in a volatile, complex digital world.
Major adoption drivers
Increased productivity and efficiency has proven to be key recruiting drivers as more Australian organizations seek to automate manual processes and improve employee skills. Agent AI has emerged as a catalyst for enterprise transformation, with AI agents helping organizations rethinking how they were designed and organized across teams and systems.
Agent AI enables better customer experiences, enhances competitive advantages and enhances organizational risk management. IDC Infobrief has strengthened this, citing benefits from agent AI with productivity (69%), the ability to tackle more complex tasks (68%), and improved decision-making (58%). These specific results promote intake across retail, wholesale, financial services, and healthcare and life sciences sectors.
Addressing new risks
As Australian organizations deepen their investment in Agent AI, concerns about security, privacy and unintended consequences become acutely focused. Potential misuse due to malicious actors (49%), unintended system users interactions (48%), and data privacy violations (44%) are important concerns for organizations.
From an implementation perspective, challenges are equally important. Organizations cited data security (59%) as the biggest barrier to adoption, and subsequently the integration of existing systems (50%) with conceptual ambiguity (44%) cited conceptual ambiguity (44%) regarding how agent AI is applied.
As adoption accelerates, addressing these risks is critical to building trust in the agent system and ensuring alignment with long-term digital transformation goals.
Agent Automation lays the foundation for scalable AI
Security, integration and governance remain important issues, but Australian organizations are clearly preparing to scale. Many now embed agent AI into the structure of operations beyond their early use cases, and agent automation is the foundation of this shift.
Agent Automation combines agent AI and robotic process automation to deploy AI agents that go beyond structured, rule-based tasks. It features real-time decision-making and adaptive intelligence for complex, unstructured processes. This allows organizations to operate large-scale agent AI and unlock new dynamic, context-conscious classes of workflows that cannot be addressed by traditional automation alone.
“We are a crucial moment for Australian AI,” said Peter Graves of New Zealand, Australia’s Regional Vice President and UIPATH’s New Zealand. “Agent Automation is a missing link between AI experiments and enterprise transformation. This is how organizations are starting to get AI agents to work. It takes on complex tasks, makes decisions in real time, and gives you control and confidence to scale your AI safely and effectively.
“Being an AI-fuel business is no longer an option in today’s unpredictable climate. For many organizations, it is rapidly becoming a strategic need. In Australia, organizations are adopting large-scale agent AI and agent automation. IDC Asia/Pacific Research IDC Asia/Dr. Chris Marshall, Vice President of Data, Analytics, AI, Sustainability and Industry Research at IDC.
To download IDC Infobrief, titled “Agent Automation: Unlock Seamless Orchestration for Modern Enterprises,” visit https://uipath.com/resources/automation-whitepapers/unlock-seamless-orchestration-ajentic-automation.
