Industry context
Singapore education runs from K-12 to IHL to training providers, with very different IT shapes. The common thread: teacher time disappears into admin and reporting, leaving too little for teaching; and AI usage is stuck between “outright banned” and “no policy at all” — nobody in the middle can actually ship.
What we usually deliver
A staged path that respects how teachers actually work: fix the admin backbone first (give teachers their time back), then introduce narrowly-defined assistive AI, then expand once trust is built. We help you write the AI usage policy and the assessment redesign — so AI amplifies learning rather than replaces it.
What we benchmark against
Engineering targets we anchor to on education projects:
- 4–6 hours/week of teacher admin time clawed back — unified student record across LMS / SIS / ePortfolio, plus auto-generated reports
- At-risk students flagged before mid-term — early-warning model surfaces a list, teacher does the human intervention — AI doesn’t make the call
- AI tutor curriculum aligned to MOE / SkillsFuture / IHL — not a generic ChatGPT wrapper
- 100% alignment with MOE / IHL data handling guidelines — student PII stays in Singapore, AI outputs are explainable and auditable
If you want a project proposal at comparable scale, talk to sales — we walk you through it under NDA.