Executives and heads of HR, L&D and operations leading AI adoption.

AI Change Management

• 1 day
• HRDC claimable
• Intermediate

AI projects fail on people, not models. BCG’s research puts it at 10-20-70: roughly 10% of AI success is the algorithm, 20% the technology, and 70% the people and process around it (BCG, 2025). McKinsey’s 2025 data agrees from another angle: redesigning workflows is the single change most correlated with EBIT impact, yet only 21% of organisations have done it (McKinsey, The State of AI, 2025). This program is about that 70%. Sources: BCG, 2025, McKinsey, The State of AI, 2025

Adoption is the whole game. The return shows up only after the workflow is redesigned and the team changes how it actually works, not when the tool is switched on. That is the part this program builds. See a case study.

What your team will be able to do

• Address the psychology of AI change so teams adopt rather than resist.
• Redesign roles and workflows for hybrid human-and-AI work.
• Build a communication plan that carries the change across the organization.
• Set up sustained upskilling so capability keeps pace with the tools.

Who runs it

This program is run by industry practitioners who have shipped AI inside regulated enterprises across banking, government, manufacturing, and telco. It is led by Peter Kua, our AI and data science lead, a core contributor to Malaysia’s National Big Data Analytics Framework under MDEC and co-author of Malaysia’s AI Adoption Blueprints in 2019 and 2020. You are learning from people who have built this in production, not read about it. Peter’s commentary on AI adoption and workforce capability has appeared in The Star, theSun, Singapore Business Review, e27, and DagangNews, and on RTM Berita’s Tech Today.