AI Implementation Checklist

Pre-Implementation

• Define clear objectives and success metrics
• Assess data quality and availability
• Identify key stakeholders
• Establish governance framework

Implementation

• Set up development environment
• Begin data preparation
• Start model development
• Conduct testing and validation

Deployment

• Deploy to staging environment
• Conduct user acceptance testing
• Deploy to production
• Monitor performance