Notes on building with AI
Prompt Engineering Techniques That Work Across Tools
Prompt engineering techniques that transfer across AI tools: structure, context, examples and iteration, plus reusable patterns your team can keep.
Read article → AI Literacy Training: What "Good" Actually Looks Like
What good AI literacy training looks like: the practical floor every team needs, the habits that keep it safe, and how literacy leads to building.
Read article → In-House vs Public AI Training: Which Fits Your Team
In-house vs public AI training: when off-the-shelf courses work, when private cohorts win on stack, scale and governance, and how funding factors in.
Read article → Building an AI Adoption Roadmap Without the Hype
A practical AI adoption framework for organisations: assess honestly, sequence by value and risk, and run capability and governance as parallel tracks.
Read article → How to Roll Out AI Training Across a Large Organisation
How to run an enterprise AI training rollout that sticks: capability tiers, pilot then scale, measuring outcomes, and making new skills last.
Read article → PDPA & AI in Healthcare: Data Protection You Cannot Skip
Data protection for AI in healthcare under Singapore's PDPA: consent, purpose limitation and the protection obligation, plus privacy by design.
Read article → Healthcare Administrative Automation: Where It Safely Helps
A practical guide to healthcare administrative automation: the admin work worth automating, where AI helps, and where a human must stay in the loop.
Read article → AI in Healthcare: Start With the Back Office, Not the Diagnosis
Where AI in healthcare actually pays off in Singapore: start with the back office, not the diagnosis. The safe, high-return admin use cases to begin with.
Read article → Upskilling Finance Teams: From Analysts to Builders
How to upskill finance teams from AI users to builders: the capability to target, how to structure it, and how IBF-STS can fund finance-sector training.
Read article → AI Governance for Financial Institutions in Singapore
AI governance for financial institutions in Singapore: MAS FEAT principles, model risk, human-in-the-loop and audit trails, practical for finance teams.
Read article → How to Automate Financial Reporting in Finance Teams
A practical guide to automating financial reporting: regulatory and management reports, where AI fits, what stays human, and the controls to build in.
Read article → IBF-STS Funding Explained: Training in Financial Services
IBF-STS explained: how the IBF Standards Training Scheme funds accredited training for financial institutions in Singapore, who qualifies and how to claim.
Read article →Bring this thinking to your team
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