Inspiration
The World Institute for Action Learning (WIAL) operates across 20+ countries, but its digital presence is fragmented. Each chapter manages its own website, coach directory, and operations, leading to inconsistent branding and limited global visibility.
We were inspired by a simple idea: WIAL is a global network, but its technology does not reflect that. We wanted to unify chapters, coaches, and knowledge into one intelligent platform.
What if chapters could be created instantly, coaches discovered across languages, and operations automated globally?
What it does
Our goal was to help WIAL scale globally without increasing operational complexity.
This project transforms WIAL from a collection of disconnected websites into a unified, AI-powered global platform.
How we built it
We built an AI-powered global platform with:
1. Multi-Chapter Website System
- Global parent platform with chapter-level sites
- Shared templates with enforced branding
- Role-based access (Admin, Chapter Lead, Coach)
2. Global Coach Directory
- Centralized coach database
- Searchable by location, certification, specialization
- AI-powered multilingual search
3. AI Features
- Cross-lingual semantic search using embeddings
4. Tech Stack
- Frontend: Next.js (static generation)
- Backend: AWS
- Vector DB: AWS Embeddings
- AI: Cohere
- Payments: Stripe / PayPal
- Hosting: Vercel
Challenges we ran into
Low-Bandwidth Constraints
We had to design pages under 200 KB to ensure accessibility in regions with slow internet.
Multilingual Search
Traditional keyword search fails across languages. We solved this using embeddings and vector similarity.
Multi-Tenant Architecture
Building one system that supports multiple independent chapter websites while maintaining global consistency was complex.
MVP vs Vision
Balancing what to build within limited time while still demonstrating the full vision was a key challenge.
Accomplishments that we're proud of
Most platforms build websites.
We built a global infrastructure that:
- Instantly creates chapter sites
- Connects coaches worldwide
- Enables multilingual discovery using AI
- Automates administrative workflows
What we learned
Through this project, we learned:
- How to design multi-tenant platforms for global organizations
- How AI-powered semantic search works across languages
- The importance of low-bandwidth system design for global accessibility
- How nonprofits scale operationally across regions
A key concept we implemented was semantic similarity using cosine similarity:
$$ \text{cosine similarity} = \frac{A \cdot B}{|A||B|} $$
This allows users to search in one language and find results in another — enabling true global discovery.
What's next for Chapter-in-a-Box: The WIAL Global Platform
- Expand AI features: Smart Coach Matching and Knowledge Engine for journal and webinar content
- Implement multi-language chapter content generation at scale
- Add event management, newsletters, and analytics dashboards for chapters
- Develop mobile apps for coaches to browse directories, manage certifications, and get notifications
- Integrate team licenses and corporate client workflows for enterprise-scale Action Learning programs
Built With
- amazon-dynamodb
- amazon-web-services
- nextjs
- vercel
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