As organizations increasingly adopt AI-assisted development, a critical challenge emerges: how to use AI effectively without exposing sensitive information contained in source code, databases, and application logs. In this hands-on workshop, Mantas Damijonaitis will demonstrate practical techniques for preparing software systems to work safely with AI tools in enterprise environments. Participants will learn how to identify personally identifiable information (PII) within codebases, create anonymized database dumps for development and AI-assisted analysis, and build log processing pipelines that automatically remove sensitive data before it reaches AI systems. The workshop combines real-world examples, tools, and implementation techniques that attendees can apply immediately to make their applications AI-ready while maintaining privacy, security, and compliance with regulations.