A successful Claude Code enterprise rollout requires more than purchasing licenses and giving engineers access to AI coding tools. This guide explores how engineering leaders can scale Claude Code adoption while maintaining security, code quality, and human oversight. Learn how to prioritize access based on repository risk, establish mandatory code review gates, configure managed policies, and measure meaningful outcomes using delivery metrics like pull request review time, change failure rate, and rework. Discover common rollout pitfalls and a practical 90-day implementation framework for launching pilots, evaluating performance, and expanding AI-assisted development responsibly across your engineering organization.