AI For Productivity with Malaysia Productivity Corporation (MPC)
AI For Productivity with Malaysia Productivity Corporation (MPC)
A Continued Partnership in Driving Malaysia’s AI Transformation and Adoption
The recent AI for Productivity 2025 Program event, organized by the Malaysia Productivity Corporation (MPC), celebrated the successful implementation of AI across various high-impact industries. The national recognition of these success stories serves as a powerful testament to our collaborative digitalization framework. We are honored to have worked side-by-side with MPC to jointly develop and execute AI digital adoption over the last three years.
As a dedicated partner, PointStar has worked closely with MPC at the forefront of running digitalization and AI programs aimed at boosting national productivity. We are grateful for the opportunity to witness firsthand how artificial intelligence is moving from “experimental” to “essential” for Malaysian businesses through our joint efforts.
A Shared Vision of Scaling National Productivity Impact
According to the Deputy Minister of Investment, Trade, and Industry (MITI), Liew Chin Tong, Malaysia is targeting a 3.6% annual labor productivity growth by 2030. Achieving this requires more than just policy—it requires practical, high-impact AI implementation.
PointStar has collaborated closely with MPC to bridge the gap between technology and industry. Our joint digitalization programs have focused on creating Proofs of Concept (PoCs) that deliver measurable ROI. These MPC-led initiatives have directly contributed to massive cost savings, reduced working hours, and generated over RM 400 million in value creation nationwide, showcasing the tangible outcomes of digital AI adoption.
Find out more about our AI Digitalization programs here.
Launching of AI for Productivity with Mr. Justin Lee, Dr. Halimahton, Ms. Sui Pei, and Mr. Doddi on DALIA Reconnect Night 2025.
AI for Productivity Spotlight: How ERS Energy Achieved Operational Excellence with AppSheet
ERS Energy Sdn Bhd was featured as a benchmark for AI success during the MPC event. In the solar energy sector, rapid growth often brings the challenge of scaling internal operations. ERS Energy met this challenge by leveraging AppSheet, Google’s no-code application development platform, as a core part of their digital transformation journey with us.
As highlighted by Low Kang Sheng, Head of Digitalization at ERS Energy, the company has successfully implemented AppSheet to:
Digitalized Workflows: Eliminated manual paperwork and data entry, significantly simplifying the entire inspection process for engineers.
Real-Time Visibility: Provided project managers with instant status updates and live tracking to monitor inspection requests as they happen.
Centralized Collaboration: Created a single hub for all documentation and approvals, removing fragmented communication and ensuring total transparency.
- Scale with Demand: Leveraging AI to handle the increasing complexity of the solar energy market without a proportional increase in administrative overhead.
Fireside Chat with Mr. Low Kang Sheng during DALIA Reconnect Night 2025
Looking Ahead: Reaching New Heights with MPC
To cap off these achievements, PointStar recently hosted DALIA Night, our annual year-end celebration dedicated to the participants and successes of our digitalization programs.
The evening was a significant milestone, marking three years of impact during which PointStar has helped over 170 companies successfully navigate their digital transformation journeys. This community of innovators represents the backbone of Malaysia’s shift toward an AI-driven economy.
Beyond the celebration, DALIA Night served as the venue to announce a significant extension of the AI for Productivity initiative—a collaborative partnership between PointStar, MPC, and Google Cloud. This continued partnership represents an evolution of our shared vision, specifically focusing on the integration of Gemini for Google Workspace into industrial workflows.
A key highlight of the night was an insightful fireside chat with Sheng of ERS Energy. He shared the practical realities of leading a digital-first organization, providing other program participants with a first-hand look at how the combination of their AI transformation adoption journey creates a robust ecosystem for growth.
The energy at DALIA Night reinforces that the success of the MPC program isn’t just about technology—it’s about a community of forward-thinking leaders and world-class partners committed to Malaysian industrial excellence.
DALIA Reconnect Night 2025 with all the participating companies.
The Road Ahead: 3 Years of Impact, Many More to Come
The theme of the latest MPC launch, “Empower Learning, Drive Lasting Productivity,” perfectly aligns with our mission at PointStar. We believe that tools like AppSheet and Gemini are not about replacing human talent but empowering it with the right digital intelligence.
As we continue our partnership with MPC and Google Cloud, PointStar remains committed to:
Scaling AI Adoption: Helping more SMEs and enterprises achieve cost savings and efficiency.
Driving Industrial Agility: Ensuring Malaysian businesses remain competitive in the global IMD World Competitiveness rankings through digital readiness.
Measurable Innovation: Focusing on projects that reduce work time and optimize resources through the same digitalization framework we’ve refined over the last three years.
Join the AI Transformation with PointStar
Whether you are in manufacturing, services, or renewable energy like ERS, PointStar’s AI and digitalization programs—powered by Google Cloud, AppSheet, and Gemini—are designed to deliver clear, fast, and measurable outcomes.
While the 2025 program has concluded, we remain dedicated to supporting businesses on their digital transformation journeys. We encourage Malaysian businesses to explore the various digital solutions and services PointStar offers to unlock their full potential. Stay tuned for our 2026 programs!
Reference: MPC pacu transformasi industri berimpak tinggi menerusi AI – Sinar Harian.
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