Automation Anywhere, a company that focuses on Agentic Process Automation, detailed key barriers and breakthroughs shaping the adoption of Artificial Intelligence agents by businesses in its latest study.
The company’s new research report, developed in collaboration with Forrester Consulting, is based on a survey of global decision-makers overseeing organization-wide AI strategies. It addresses the implementation challenges organizations will need to address to realize their full potential. “This research highlights a critical inflection point for enterprises,” said Mihir Shukla, CEO of Automation Anywhere, in a statement.
The study found that 60 per cent of survey respondents believe automation platforms and AI leaders are the most valuable foundation for managing AI-driven processes. And 71 per cent agree that automation solutions should boost human capabilities rather than replace them. “Leaders are clearly prioritizing AI-augmented workflows, recognizing the undeniable value of Agentic AI,” added Shukla.
Canadian auto dealer recently published an article describing Agentic AI as an extension of conversational AI that adds the ability to autonomously make decisions. It is used to manage complex data and processes, troubleshoot problems, automate workflows, among other things.
“The fact that a significant majority are specifically seeking these solutions from modern, cloud-native RPA and AI automation vendors underscores that deep process automation expertise is critical to scale adoption and unlock meaningful impact, accelerating the journey to the autonomous enterprise and paving the path to artificial general intelligence for work,” said Shukla.
Some of the study’s other findings include 74 per cent of respondents recognizing the promise of AI agents (that it will bring insights from vast data sets), though 66 per cent are concerned around data privacy and skills gaps (63 per cent). The persistence of integration complexity is also an issue (61 per cent)
However, Automation Anywhere said organizations are already piloting or implementing AI agents for internal employee support (53 per cent) and customer service (48 per cent).
