Technology companies face a unique AI challenge: they need to embed AI into their products while simultaneously using AI to improve their own operations. Engineering teams are adopting AI coding assistants, product teams are integrating AI features, and leadership must navigate build-vs-buy decisions for AI capabilities.
We help tech companies develop coherent AI strategies that span product development, engineering productivity, and organizational transformation. Our approach ensures AI investments compound rather than fragment across disconnected initiatives.
We work with technology organizations through four integrated approaches, adapting each engagement to your specific context and readiness.
Hands-on workshops that build practical AI skills across your organization.
Map and optimize existing processes for effective AI integration.
Custom AI tools and systems built for your specific operational needs.
Ongoing guidance on AI strategy, governance, and implementation challenges.
Maximize training subsidies and government grants available for AI transformation in technology.
Corporate training in Malaysia is increasingly focused on AI and digital transformation. With HRDF claimable programmes, companies can upskill their entire team in AI at zero net cost. This guide covers the best corporate AI training options, HRDF claim process, and how to choose the right programme for your business.
The HRDF levy is a mandatory contribution that funds employee training in Malaysia. Understanding how the levy works, how much your company contributes, exemption rules, and how to maximise your levy utilisation is essential for HR leaders and finance teams. This guide covers everything about HRDF contributions.
FEATURED INSIGHTS
The Philippines National Privacy Commission issued Advisory Guidelines on AI in December 2024, requiring organizations to identify and limit algorithmic bias, prohibit AI washing, and comply with the Data Privacy Act for all AI data processing.
Vietnam's Law on Artificial Intelligence, effective March 2026, is the first standalone binding AI law in Southeast Asia. It introduces risk-based classification, registration requirements, and penalties up to VND 2 billion for non-compliance.
Thailand's PDPA imposes strict data protection requirements on AI systems. With a draft AI law expected in 2026 and new BOT AI guidelines for financial services, companies must prepare for an increasingly regulated environment.
Indonesia's Personal Data Protection Law (UU PDP), fully effective since October 2024, is modeled on GDPR and applies to all AI systems processing personal data. With mandatory AI regulations expected in early 2026, companies must comply now.
Malaysia's PDPA amendments (effective June 2025) introduce mandatory DPO requirements, breach notifications, and data portability. Combined with the new AIGE Guidelines, companies using AI must adapt their data practices.
Let's discuss your specific challenges and how AI can drive measurable results for your organization.
