Compliance Catastrophe is an AI-powered simulation game where players take on the role of a compliance officer managing vendor approvals in a complex supply chain. Players must evaluate vendors based on compliance risks, using AI-generated vendor profiles and risk assessments. The game balances risk, ethics, and strategy, ensuring an engaging and impactful learning experience.
This game was developed as part of the AI-Driven Compliance Training Challenge. The goal is to create a non-quiz-based game mechanic that effectively teaches compliance concepts while leveraging AI for dynamic, scenario-based learning.
Supply chain compliance is critical in industries like manufacturing, pharmaceuticals, and retail. Companies must vet suppliers to avoid issues like child labor, environmental violations, and financial fraud. Failing to comply can lead to legal penalties, reputational damage, and operational disruptions.
- Turn-Based Strategy: Players review AI-generated vendors and choose whether to Approve, Audit, or Reject them.
- Dynamic Risk Evaluation: Vendors have compliance ratings and hidden risks, making every decision a balancing act.
- Resource Management: Each action impacts company resources, requiring careful planning.
- Consequence System: The AI describes realistic outcomes for approvals and rejections, ensuring players understand compliance risks in real-world terms.
- AI-Powered Post-Game Analysis: If a player loses the game, the AI generates a detailed breakdown of their decisions, highlighting key mistakes and suggesting improvements for future playthroughs.
- AI-Generated Vendors: OpenAI via OpenRouter generates realistic vendor profiles, each with industry-specific risks and defenses.
- Adaptive Audit Insights: AI provides detailed audit reports when vendors are investigated, enhancing learning depth.
- Dynamic Consequences: AI generates realistic outcomes based on player decisions, making every playthrough unique.
- Post-Game Analysis: Google Gemini via OpenRouter evaluates the player’s decisions and provides insights on how they could improve compliance risk management strategies in future rounds.
- Vue.js 3 + TailwindCSS for a sleek and engaging UI, using the technology I'm most familiar with.
- Neo-Brutalist Design: High-contrast, bold typography, and hard-edged UI components. Modern and stylish!
- Hono.js (Node.js) for handling AI requests. Ready to be deployed on modern platforms like Cloudflare Workers.
- OpenRouter (LLM API) for AI-generated vendor data and playthrough analysis. Allows for fast LLM provider experimentation.
- Node.js 18+
- A registered OpenRouter API key
- Clone the repo:
git clone https://github.com/wildsylvan/compliance-catastrophe.git cd compliance-catastrophe - Set up environment variables:
cd backend- Create a
.envfile and add:OPENROUTER_API_KEY=your-api-key OPENROUTER_MODEL_VENDORS=openai/gpt-4o-mini OPENROUTER_MODEL_ANALYZE=google/gemini-2.0-flash-lite-001
- Create a
- Run the backend:
npm i npm run dev
- Run the frontend:
cd ../frontend npm i npm run dev
A 5-10 minute walkthrough demonstrating:
- Gameplay Mechanics & Compliance Focus
- AI-Driven Vendor Generation & Risk Evaluation
- Technical Architecture & Design Decisions
- AI-Generated Post-Game Analysis
✔ Creativity & Engagement: Non-quiz mechanics, real-time decision-making, and AI-driven complexity.
✔ Technical Depth: Well-structured Vue.js frontend and Hono.js backend with seamless AI integration.
✔ Ownership & Decision-Making: Thoughtful use of AI, UX, and scalable tech stack.
✔ Clear Documentation & Communication: This README + video walkthrough explains everything concisely.
- GitHub Repository: wildsylvan/compliance-catastrophe
- Video Demo: YouTube video
- Contact Information: linkedin.com/in/matteo-gazzoni
I hope you enjoy Compliance Catastrophe! 🎮🔥