The Challenge
Engineering for Change (E4C) has spent over 15 years building one of the most comprehensive vetted libraries of sustainable development resources on the web. The problem: that knowledge lived in a static form. Practitioners, students, and community members could search it but could not get it synthesised into something immediately useful at the point of a decision.
E4C put up a $7,500 prize and issued a challenge across three tracks asking builders to answer three core questions:
How can AI improve access to the insights E4C has built over the years?
How might AI increase the relevance of their data for practitioners and students?
How can AI improve human interactions within E4C's global community?
Track 1, which Origin entered, focused specifically on the first two questions: making knowledge accessible and turning it into something decision-ready.
What We Built
E4CInsights is an AI pipeline with four core steps:
01 Knowledge Query
The pipeline queries E4C's vetted sustainable development knowledge base to surface relevant, peer-reviewed material for any given topic.
02 Live Data Enrichment
Real-time statistics are pulled from World Bank and WHO APIs, grounding every brief in current, authoritative figures rather than static snapshots.
03 Synthesis
An AI layer synthesises the retrieved knowledge and live data into a structured, fully cited policy brief. No unsourced claims.
04 Human Review
Before delivery, a human reviewer checks the output for accuracy and relevance. The system is designed so the AI assists the human, not the other way around.