PodChats for FutureCOO: 
Driving next-gen automation with Agentic AI

Tony Tay, founder and CEO of AgileAlgo, joins the podcast, PodChats for FutureCOO to discuss agentic AI and its transformative potential for the workforce. There he explores how Agentic AI can drive next-generation automation, optimize supply chains, and reshape core operational processes. Tony provides insights into the skills needed to maximize human-AI collaboration and the measurable ROIs early adopters in Asia have achieved.

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Agentic AI is considered the fourth version of Robotic Process Automation (RPA), evolving from screen scraping to rule-based systems, then incorporating machine learning, and now leveraging language and reasoning capabilities. This latest iteration addresses challenges that previous RPA versions couldn't solve, as it's not solely rule-based or data-dependent but relies on reasoning and language understanding to perform tasks.

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With the coming prediction that a significant portion of white-collar work will be digitized through AI, organizations should strive to develop skills in knowledge management and understanding the capabilities and limitations of generative AI to maximize human-AI collaboration. When deploying agentic AI, it's crucial to be aware of AI's limitations, such as potential biases and hallucinations, and to understand the risks associated with AI models. Organizations should establish a risk framework, starting at the board level, to assess the potential harm caused by each automation and ensure ethical implementation.

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In the podcast, Tony taps further into how this collaboration between human and AI can be maximized, ventures about its potentials and how it will integrate and transform this workforce we know of today, into a well anticipated future.

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LinkedIn - Tony Tay on his conversation with Allan Tan, of CXOCIETY

Spotify Podcast - PodChats for FutureCOO: Driving next-gen automation with Agentic AI