Who this is for
- Startups and scale-ups in Singapore expanding across Southeast Asia.
- Banks, insurers and fintechs working under MAS expectations.
- Regional headquarters of global companies setting AI and data strategy for Asia-Pacific.
- Investors assessing technology companies in the region.
What shapes technology decisions in Singapore
The PDPC's advisory guidelines, issued in March 2024, explain how the PDPA's consent and notification obligations, and their exceptions, apply when personal data is used to develop and deploy AI recommendation and decision systems1. Financial institutions are expected to observe the MAS Technology Risk Management Guidelines on governance, resilience and third-party oversight2. Singapore's AI Verify Foundation provides open testing tools for responsible AI3.
| Rule or standard | Who it touches | What it means for architecture |
|---|---|---|
| PDPA and PDPC AI guidelines | Organisations using personal data in AI systems | Clear basis per use, notices, and documented exceptions for development and testing |
| MAS TRM Guidelines | MAS-regulated financial institutions | Governance, resilience, recovery objectives and oversight of cloud and AI vendors |
| AI testing | Teams deploying AI to customers | Evaluation and testing evidence that can be shown to regulators and clients |
Related reading: evaluating AI agents, LLM observability with OpenTelemetry and structured outputs.
Typical first projects
- Production AI with evaluations, monitoring and a clear PDPA basis for each data use.
- Technology risk review for a fintech preparing for MAS scrutiny.
- Multi-country data platform with a shared semantic layer.
- Fractional CTO cover through regional expansion.
Time zones
Singapore is four hours ahead of the Gulf. Singapore afternoons overlap my mornings, and I keep a written decision log so work keeps moving between sessions.
How engagements work
- Architecture and AI readiness review (2 to 4 weeks): a clear picture of the current platform, risks and a prioritised roadmap.
- Fractional CTO (ongoing, part-time): technical strategy, architecture governance, hiring and board-level communication.
- Build and hand-off: hands-on delivery of a platform or AI capability, documented so your team can run it.
- Technical due diligence: an independent view of a target's technology for investors and acquirers.
Every engagement starts with a free 30-minute call. See how I work for the full process.
- 1Advisory Guidelines on use of Personal Data in AI Recommendation and Decision SystemsPersonal Data Protection Commission · Mar 2024
- 2Technology Risk Management GuidelinesMonetary Authority of Singapore
- 3AI Verify FoundationAI Verify Foundation