The Monetary Authority of Singapore (MAS) announced on March 20, 2026 the successful conclusion of phase two of Project MindForge, culminating in the publication of an Artificial Intelligence (AI) Risk Management Toolkit for the financial services sector. This comprehensive toolkit, developed collaboratively by a consortium of 24 leading banks, insurance companies, capital market firms, and other industry partners, provides financial institutions with essential resources for managing AI-related risks across traditional AI, generative AI, and emerging agentic AI technologies.

The MindForge AI Risk Management Toolkit features an AI Risk Management Operationalisation Handbook that provides detailed, practical guidance on implementing AI risk management frameworks. This handbook is accompanied by a supplement featuring a compilation of AI case studies that document the experiences and lessons learned from financial institutions. These examples offer insights into the challenges, approaches, and risk management practices when using AI in different organizational contexts.

MAS is currently reviewing responses to an earlier public consultation on a set of Guidelines on AI Risk Management. The Operationalisation Handbook is organized into four sections, which are aligned with MAS’ proposed Guidelines:

Scope and oversight – Establishment of AI governance framework, and clarity of roles and responsibility for AI oversight.

AI risk management – Identification of AI usage, risk materiality assessment, and AI inventorisation through organizational systems, policies and procedures.

AI lifecycle management – Implementation of controls covering the entire lifecycle of AI use.

Enablers – Development of organizational capabilities, infrastructure, and resources to enable ongoing responsible AI use and risk management.

The Operationalisation Handbook will be periodically updated as the use of AI in the industry matures and to reflect MAS’ supervisory expectations. To facilitate broader industry adoption of AI risk management practices and solutions, MAS will establish an AI risk management workgroup comprising MindForge consortium members and other industry practitioners under the BuildFin.ai initiative to develop implementation resources, facilitate knowledge sharing, and build capabilities and frameworks for managing risks from newer AI technologies such as agentic AI.

Kenneth Gay, Chief FinTech Officer at MAS, stated: “The development of the MindForge AI Risk Management Toolkit, including the release of the Operationalisation Handbook, marks a major step forward in our journey to ensure the responsible adoption of AI in finance. We are committed to fostering a culture of continuous engagement and strengthening of AI governance and risk management practices across the industry. The BuildFin.ai programme also serves as a foundation for our next phase of collaboration in AI risk management, to bolster the safe adoption of AI across the financial industry.”

The toolkit represents Singapore’s proactive approach to AI regulation in financial services, positioning the city-state as a leader in developing practical frameworks for emerging technologies. This initiative comes as financial institutions globally grapple with the challenges of implementing AI systems while managing associated risks related to data privacy, algorithmic bias, operational resilience, and regulatory compliance.

Singapore’s financial sector has been at the forefront of AI adoption, with MAS previously launching Project MindForge in 2024 to explore AI governance frameworks. The newly released toolkit builds on this foundation, providing concrete implementation guidance that bridges the gap between regulatory expectations and practical operational requirements.

The MAS AI Risk Management Toolkit is available for download from the MAS website and is expected to serve as a reference point for financial institutions across Asia and beyond as they navigate the complex landscape of AI implementation in regulated financial services.