A framework for integrating AI capabilities into enterprise systems with a focus on data governance, master data management, and ERP integration.
Enterprise applications share common patterns - authentication, data management, workflows, and reporting. Codex Enterprise AI Platform provides a reusable foundation for building AI-powered enterprise features, with a particular focus on manufacturing and ERP environments.
- Data quality monitoring and validation
- Access control and audit logging
- Data lineage tracking
- Customer, product, and supplier data hubs
- Data deduplication and matching
- Hierarchical data structures
- LLM-powered data querying
- Automated report generation
- Anomaly detection in operational data
git clone https://github.com/Samar-Khalid/Codex-Enterprise-AI-Platform.git
cd Codex-Enterprise-AI-Platform
python -m venv venv
source venv/bin/activate
pip install -r requirements.txtRun with Docker:
docker-compose up -dAPI docs at http://localhost:8000/docs
backend/
core/ Configuration, database setup
api/ FastAPI endpoints
services/ Business logic
workers/ Background tasks
Early-stage. Auth and basic CRUD operational. Data governance and AI features under active development.
MIT