"Companies Must Make Their Experience and Knowledge Usable by AI"

PwC Consulting Holds Forum on Transitioning to AI-Native Companies

Moon Hongki, CEO of PwC Consulting, delivers opening remarks at the “Transitioning to an AI-Native Enterprise: From Strategy to Execution” forum held at Amore Hall in Yongsan-gu, Seoul, on the 15th. Courtesy of PwC Consulting.

Companies are accelerating the adoption of artificial intelligence (AI), but a recommendation has emerged that they need to make their ways of working AI-centric to see tangible results. The ability to organize people’s experience and knowledge in a form that AI can execute is what determines the success of a transition to an “AI-native company.”

On October 16, PwC Consulting said it had held a forum titled “Transitioning to an AI-Native Company, from Strategy to Execution” the previous day at Amore Hall in Yongsan-gu, Seoul.

In his opening remarks, Moon Honggi, CEO of PwC Consulting, said, “One of the key issues for companies today is shifting from a people-centric work environment to an AI-centric one.” He emphasized, “Considering technological advances and return on investment (ROI), now is the time to transition to an ‘AI-native company.’”

In the first session, Paek Jongmin, operations leader at PwC Consulting, explained the concept of an AI-native company and outlined six areas of execution that executives need to focus on: strategy, processes, data, technology and infrastructure, organization and governance, and culture and talent.

Lee Janghyuk, a partner at PwC Consulting, analyzed the causes of the gap in AI performance and presented an approach to transitioning to an AI-native company. “The top 20% of companies capture 74% of the economic value created by AI,” he said. “This gap does not stem from differences in the scale of AI adoption or model performance, but from whether companies have redesigned their work so that AI can perform it.” He added, “People’s experience, criteria for making decisions, and exception-handling methods need to be made explicit in a form that AI can understand and execute. Workflows need to be redesigned from beginning to end, leaving only the points where human involvement is essential.”

Koo Bonjae, cloud and AI leader at PwC Consulting, introduced the “AI-Ready Knowledge” platform and “PI Agent.” AI-Ready Knowledge is a platform that converts undocumented tacit knowledge, including the decision-making criteria and exception-handling methods built up through frontline employees’ experience, into knowledge that AI can understand and execute. PI Agent, also unveiled at the event, talks with frontline employees to identify workflows and decision-making criteria, structures them into minimal knowledge units (AKUs) that AI can use immediately, and uses them to redesign the roles of AI and people and identify areas for improvement.

The following sessions covered HR challenges in organizations where people and digital workers operate together (PwC Consulting partner Kim Jusu); the changing role of enterprise resource planning (ERP) in the AI era (PwC Consulting partner Park Munjin); types of AI security threats and ways to address them (PwC Consulting partner Jeon Sangmi); and key AI technologies for companies to watch (PwC Consulting partner Kim Beomsu).

This content was produced with the assistance of AI translation services.