AI-Powered Account Opening & Workflow Orchestration Platform
A demonstration platform showcasing intelligent workflow automation, business rules configuration, and AI-powered validation for banking account opening processes.
Built to demonstrate:
- Workflow Configuration - No-code business process design
- AI Automation - Intelligent validation and routing
- Integration Architecture - Multi-API orchestration
- Process Documentation - Auto-generated implementation guides
- Enterprise Implementation Skills - Real-world banking workflow simulation
- Personal Information Collection
- Identity Verification
- Document Upload & Processing
- Credit Check Integration
- Compliance & KYC/AML Screening
- Automated Approval/Review Routing
- Configurable validation rules
- Risk scoring algorithms
- Automated decision trees
- Compliance rule enforcement
- Field validation using AI
- Fraud detection patterns
- Document verification assistance
- Smart routing based on risk profiles
- Identity Verification API (mock)
- Credit Bureau Integration (mock)
- KYC/AML Service (mock)
- Document Processing API (mock)
- Application status tracking
- Conversion metrics
- Processing time analytics
- Success/failure rates
- Integration health monitoring
- Workflow diagrams
- Integration specifications
- Configuration guides
- API documentation
banking-workflow-automation/
โโโ backend/ # Python FastAPI backend
โ โโโ app.py # Main application
โ โโโ workflow_engine.py # Workflow orchestration
โ โโโ rules_engine.py # Business rules processor
โ โโโ ai_validator.py # AI validation logic
โ โโโ integrations/ # Mock API integrations
โ โโโ models.py # Data models
โโโ frontend/ # Web interface
โ โโโ index.html # Main dashboard
โ โโโ workflow-builder.html # Visual workflow designer
โ โโโ application-form.html # Customer-facing form
โ โโโ assets/ # CSS/JS/Images
โโโ docs/ # Documentation
โ โโโ ARCHITECTURE.md
โ โโโ IMPLEMENTATION_GUIDE.md
โ โโโ API_REFERENCE.md
โโโ tests/ # Test suite
- Backend: Python 3.9+, FastAPI
- Frontend: HTML5, JavaScript, CSS3
- AI/ML: AI-assisted validation (configurable LLM)
- Storage: SQLite (demo), JSON configs
- Deployment: Docker (optional)
# Clone repository
git clone https://github.com/Turtles-AI-Lab/banking-workflow-automation.git
cd banking-workflow-automation
# Install dependencies
pip install -r requirements.txt
# Run application
python backend/app.py
# Access dashboard
# Open http://localhost:8000- Configure workflow steps in the visual builder
- Set business rules and validation criteria
- Map integration endpoints
- Test end-to-end process flow
- Generate documentation for stakeholders
- Fill out account opening application
- Upload required documents
- Track application status in real-time
- Receive automated notifications
- Visual workflow builder
- Drag-and-drop form creation
- Business logic configuration
- Integration mapping
- Intelligent field validation
- Automated fraud detection
- Smart routing and prioritization
- Process optimization recommendations
- Personal Checking Account - Standard workflow with basic KYC
- Business Account Opening - Complex approval chain with multiple stakeholders
- High-Risk Application - Enhanced verification with manual review
- Minor Account - Co-signer requirements and special rules
This simulator demonstrates skills directly applicable to:
- Banking platform implementations (Prelim, nCino, Mambu)
- Identity and access workflows (Ping Identity, Okta)
- Financial services automation
- Compliance and regulatory workflows
- Customer onboarding systems
- Application completion rate
- Average processing time
- Automation rate (% handled without human intervention)
- Integration success rate
- Fraud detection accuracy
- Customer drop-off points
- Input validation and sanitization
- Fraud detection algorithms
- Compliance rule enforcement
- Audit logging
- Data encryption (in production scenarios)
All integrations are mocked but demonstrate real-world patterns:
- Identity Verification - ID.me, Socure, Jumio patterns
- Credit Bureau - Experian, TransUnion, Equifax APIs
- KYC/AML - ComplyAdvantage, Refinitiv World-Check
- Document Processing - OCR and extraction services
See /docs folder for:
- Technical Architecture Guide
- Implementation Handbook
- API Reference
- Configuration Recipes
- Testing Procedures
James Greenia
- Solutions Architect & AI Automation Engineer
- GitHub: @Turtles-AI-Lab
- LinkedIn: james-greenia
- API Integration & Orchestration
- Workflow Automation Design
- AI-Powered Validation Systems
- Business Process Configuration
- Technical Documentation
- Client-Facing Implementation
- Project Management
- Stakeholder Communication
MIT License - Free to use for learning and demonstration
- Multi-language support
- Advanced analytics dashboard
- A/B testing framework
- Real-time collaboration features
- Mobile-responsive design
- Webhook support for real integrations
- Role-based access control
Built with AI-assisted development to showcase modern workflow automation and implementation capabilities.
This project demonstrates the intersection of technical implementation skills, AI automation expertise, and customer-focused solution delivery - key capabilities for roles in banking technology, identity platforms, and enterprise automation.