The Trust Gap in Enterprise AI
As AI adoption accelerates across Southeast Asia, a critical bottleneck has emerged: trust. Organisations that moved quickly to experiment with AI are now confronting harder questions about governance, data readiness, and whether their AI systems can withstand scrutiny from regulators and customers across multiple jurisdictions. KPMG’s 2025 Global CEO Outlook revealed that more than seven in ten CEOs rank AI as a top investment priority, yet the gap between ambition and sustained enterprise impact remains wide. Governance, data readiness, and workforce capability are the defining constraints of this next phase of adoption.
KPMG’s Answer: A Dedicated Trusted AI CoE
In May 2026, KPMG launched its Trusted Artificial Intelligence Centre of Excellence in Singapore, supported by the Economic Development Board. The centre is designed to help organisations move beyond AI experimentation and embed AI as a trusted, enterprise-ready asset. Crucially, it is not merely a research facility—it is a capability hub where all products are developed and tested before being offered to clients. The centre aims to help companies scale AI adoption with confidence, particularly in sectors such as financial services, healthcare, logistics, and manufacturing.
The Trusted AI Assurance Framework
Alongside the Centre of Excellence, KPMG unveiled Trusted AI Assurance, a structured, evidence-based approach that gives businesses a rigorous multi-faceted assessment of their AI deployment. This framework addresses a specific challenge facing Singapore-based enterprises: as they expand regionally and globally, their AI systems must be trusted not just at home but across multiple jurisdictions, each with its own regulatory expectations. The assurance offering provides a clear pathway for companies to assess where they stand, close critical gaps, and build AI that is trusted in the markets most important to their growth.
Why Singapore Is the Right Base
Singapore’s regulatory environment is uniquely suited to a trust-focused AI initiative. The city-state has been developing AI governance frameworks in collaboration with major technology companies, and its reputation as a neutral, rules-based jurisdiction gives businesses confidence that AI systems developed here will meet international standards. For KPMG, locating the Trusted AI Centre of Excellence in Singapore allows it to serve clients across the Asia-Pacific region while leveraging the city-state’s deep pool of AI governance expertise and its growing community of AI-focused professionals. The centre’s launch was officiated by Minister of State Jasmin Lau alongside senior EDB and KPMG leadership, signalling strong government alignment with the trust-first approach.
Practical Implications for Enterprises
For companies considering their own AI Centre of Excellence in Singapore, KPMG’s model offers a template: combine technical capability with governance rigour. The centre’s activities span training, experimentation in secure cloud environments, and transformation support—from proof-of-concept to full-scale implementation. This end-to-end approach reflects a broader recognition that AI success depends not only on model performance but on the organisational readiness to deploy and govern AI responsibly. As Singapore continues to attract global AI investment, trust-focused centres like KPMG’s are positioning the city-state as a model for how advanced economies can balance innovation with accountability.
