AI Governance Advisory
Governance is a competitive advantage, not a legal obligation.
Most ASEAN SMEs either treat governance as a compliance box to check after deployment, or they borrow EU AI Act templates that don't map to Singapore's regulatory environment. Both approaches produce governance documents that get filed and never used.
Book a Discovery CallThe Singapore regulatory context
Singapore's AI governance landscape centres on two frameworks: the IMDA Model AI Governance Framework (second edition, updated for generative AI) and the PDPA. These are not the same as the EU AI Act, the NIST AI RMF, or the ISO/IEC 42001 standard, though each has a relationship to the Singapore framework that operations leaders need to understand.
For Singapore-registered SMEs deploying AI in operations, the practical obligations come from PDPA data processing rules applied to AI decision-making, and from the IMDA framework's guidance on internal AI governance structures. We build your governance programme around these, not around a generalised global template.
What we build with you
AI Policy Framework
An internal policy document that defines acceptable use, prohibited use, decision authority, and escalation paths for AI systems. Written for your operations team, not for a legal department.
Vendor Risk Register
A structured register of every AI vendor and tool in your environment, with risk ratings across data handling, model transparency, contractual liability, and PDPA compliance.
Internal Oversight Structure
Defined roles and accountability for AI decisions within your organisation. Who approves new AI deployments. Who owns AI-related incidents. How you document AI-assisted decisions that affect customers or employees.
IMDA Framework Alignment Review
A documented review of your AI systems against the IMDA Model AI Governance Framework principles, with gap analysis and a prioritised remediation plan.
Why governance before implementation
Governance built after deployment is retrofitted governance: it describes what you did rather than guiding what you should do. It also misses the highest-risk decisions, which happen at vendor selection and system design, not at audit time.
The Govern phase of SIGNAL is positioned between Identify (knowing what to automate) and Navigate (designing the implementation). This sequencing is deliberate. Your governance framework shapes what vendor you select and how you configure it. Reversing this order is how organisations end up with AI systems that work but cannot be explained to regulators, customers, or auditors.