The landscape of automation is rapidly changing, transitioning from traditional methods like Robotic Process Automation (RPA) to sophisticated intelligent automation powered by advanced AI agents. A recent survey by Gartner highlights that by 2028, we can expect a dramatic shift with 33% of enterprise software incorporating agentic AI, compared to less than 1% in 2024.
This evolution towards vertical AI agents demonstrates their ability to perform specialized tasks across various industries, suggesting actions based on user interactions and learning to improve over time. This is a significant shift from simple automation, moving us closer to a future where multi-agent systems could autonomously manage decision-making for up to 15% of daily work interactions.
However, as these AI agents become more integral to enterprise workflows, challenges around accuracy arise. For example, an AI agent that operates with 85% accuracy on a single task may drop to just 72% when handling two tasks simultaneously. This raises important questions about deploying AI solutions that need to meet high performance standards.
To harness the full potential of these intelligent systems, organizations must invest in robust evaluation frameworks, observability, and feedback mechanisms. As we navigate this transformation, it’s crucial for enterprises to view AI agents not just as tools, but as collaborative partners that can foster efficiency and drive innovation in operations.
What are your thoughts on the rise of agentic AI in your industry? How do you anticipate this will reshape workflows and decision-making processes?
🔗 Read "The Evolution Of Process Automation In The AI Era" here 👇 https://www.forbes.com/sites/forbestechcouncil/2024/07/01/the-evolution-of-process-automation-in-the-ai-era/