WWF Singapore + APSN
Helping two Singapore organisations move from "we should probably use AI" to actually using it — to do better work, faster.
// the problem
Most AI adoption in non-profits and social sector organisations stalls at the awareness stage. There's enthusiasm, maybe a workshop, and then nothing changes. The gap isn't knowledge — it's translation. Someone has to sit with the team, understand the actual work, and figure out where AI genuinely helps rather than adding noise.
// why this matters
The organisations doing the most important work — on the environment, on inclusion, on community — are often the ones with least capacity for the kind of strategic AI adoption that transforms how work gets done. That's not a technology problem. It's an access problem. Closing that gap is the point.
// how it works
WWF Singapore: Working across the Eco Dabao plastic waste reduction programme and broader SG operations on data analytics — identifying where AI can improve how the team understands and acts on data. Also used Claude Design to prototype a redesigned Eco Dabao landing page, showing what a clearer, higher-converting experience could look like.
APSN (Association for Persons with Special Needs): Similar scope — assessing operations, identifying high-leverage AI use cases, and supporting the team in building practical, sustainable AI fluency.
Both engagements are pro-bono and ongoing. Claude throughout — for analysis, synthesis, document drafting, and design prototyping. The aim is always to leave teams more capable, not dependent on an external advisor.
// trade-offs i made
The choice to embed rather than advise from the outside was deliberate. A deck of recommendations delivered once and left creates the appearance of change. Being present — understanding the actual work, the actual team, the actual blockers — creates the reality of it. The tradeoff is scale: I can only embed in so many places at once.
// what i learned
The gap isn't knowledge. Every team I've worked with can see where AI could help. The gap is translation: someone who understands both the technology and the specific operational context, and can sit with the team long enough to bridge them. The playbook I'm building is an attempt to make that translation faster.
// what's next
A lightweight AI adoption playbook for Singapore social sector organisations — drawing on both engagements to document what actually moves teams forward versus what just sounds good in a slide deck.