Singapore has run the longest arc from soft principles to formal expectations of any regulator on this map, which makes MAS worth watching even if you have no Singapore entity, because its proposals preview where everyone else is heading.

From FEAT to formal guidelines

MAS published its FEAT principles (fairness, ethics, accountability, transparency) back in 2018. In November 2025 it consulted on Guidelines on Artificial Intelligence Risk Management applying across financial institutions, including capital markets intermediaries and advisory firms [1]. The consultation closed at the end of January 2026, with a 12-month transition period once the guidelines are finalised.

What the guidelines expect

The substance previews the converged direction of AI supervision:

  • Board-level accountability for AI: not a working group, the board.
  • An enterprise-wide inventory of all AI systems in use or planned.
  • Risk-materiality assessment for each system, with controls scaled to it.
  • Lifecycle controls from development through deployment and monitoring.
  • Demonstrable capability to operate what you deploy.

The inventory requirement in particular (you cannot govern what you have not identified) is quietly becoming the common denominator of every serious AI supervisory framework. MAS simply says it out loud.

Since the consultation: the 2026 layer

Three things have landed while the guidelines are finalised (a Minister told Parliament in August 2026 they would be “finalised soon”, so expect them imminently, with the 12-month transition running from publication):

  • The MindForge AI risk-management toolkit (March 2026): an industry consortium’s operationalisation handbooks covering traditional, generative and agentic AI, the practical companion to the coming guidelines.
  • IMDA’s Model AI Governance Framework for Agentic AI (January 2026, expanded May 2026): the first national framework for AI agents, covering multi-agent systems, third-party agents and automation bias, directly relevant to any firm deploying agents.
  • PDPC’s advisory guidelines on personal data in generative AI (finalised July 2026): the data-protection half of the picture, covering lifecycle responsibility and individuals’ rights.

What this means in practice

A Singapore firm that builds the converged core from the overview now (inventory, named owner, human review, vendor due diligence, records) will find the finalised guidelines land as confirmation rather than upheaval, with a 12-month transition it barely needs.

For the many Singapore-based advisers serving expat and cross-border clients, the baseline question is the usual one: MAS-style inventory discipline plus whatever stricter rules the client base drags in, typically GDPR and EU AI Act transparency for EU-resident clients. The mechanics are in AI governance for cross-border financial advisers.

This article is for informational purposes only and does not constitute regulated financial advice, legal advice, or a compliance opinion. Consult a qualified compliance professional for advice specific to your firm.

Sources

[1] Monetary Authority of Singapore, ‘Consultation Paper on Proposed Guidelines on Artificial Intelligence Risk Management for Financial Institutions’, 17 November 2025. Available at: https://www.mas.gov.sg/publications/consultations/2025/consultation-paper-on-guidelines-on-artificial-intelligence-risk-management