AIRM readiness review
Compare current governance with the proposed expectations and produce a prioritised remediation register.
AI governance for financial services in Singapore
By Nuvexia Advisory Team
AI Governance Consulting
29/08/2026
Financial Services
Nuvexia helps MAS-regulated financial institutions build AI governance programmes with board oversight, a complete AI inventory, lifecycle controls, vendor review, and FEAT-aligned policies. We also help firms assess readiness against MAS's proposed Guidelines on AI Risk Management, known as AIRM, while the final supervisory position is confirmed.
What financial institutions need to govern
MAS's FEAT principles set expectations for Fairness, Ethics, Accountability, and Transparency in the use of AI and data analytics. The proposed AIRM guidance turns those themes into an operating model that covers oversight and the full AI lifecycle.
A proportionate programme should account for the institution's size, business model, customer impact, and AI risk exposure. The same policy will not fit a payment service provider testing an internal assistant and a bank using models for credit decisions.
How Nuvexia helps
AI inventory and classification
Record owners, purposes, models, data, vendors, affected customers, controls, and risk ratings in one governed inventory.
Lifecycle controls
Define approval gates, independent validation, monitoring thresholds, incidents, change control, and retirement procedures.
Management reporting
Build concise reporting for the board and senior managers, with material risks, overdue actions, exceptions, and accountable owners.
A practical starting sequence
1
Find every AI use case
Include in-house models, vendor tools, AI embedded in SaaS products, experiments, and employee use of generative AI.
2
Classify material risk
Consider customer outcomes, financial impact, legal exposure, data sensitivity, autonomy, explainability, and concentration risk.
3
Assign accountable owners
Separate business ownership, technical ownership, risk review, validation, and final approval where the use case warrants it.
4
Build traceable evidence
Link each policy and control to approvals, test results, monitoring records, incidents, exceptions, and remediation work.
Who this is for
- Banks, insurers, payment firms, fintechs, and capital markets intermediaries in Singapore
- Institutions using AI in customer-facing or decision-making processes
- Risk, compliance, internal audit, data, and technology leaders preparing a common governance model
Frequently asked questions
What are the MAS Guidelines on AI Risk Management?
AIRM is proposed supervisory guidance for managing AI risk across governance, development, deployment, monitoring, and retirement. It also covers outsourced systems and generative AI risks.
When do the AIRM guidelines take effect?
The consultation closed on 31 January 2026. The client brief says final guidance remained pending and records a proposed 12-month transition after issuance. Check MAS for the current status.
Are the AIRM guidelines legally binding?
The proposal is supervisory guidance, not an Act of Parliament. MAS-regulated institutions should still prepare to show that their controls meet supervisory expectations. Seek legal advice for a formal interpretation.
How does AIRM differ from the EU AI Act?
AIRM is sector-specific Singapore guidance. The EU AI Act is cross-sector EU legislation. Firms covered by both need one workable governance programme with separate mappings for each set of duties.