Automating code reviews with tools like CODEOWNERS, GitHub Actions, and policy bots can help ensure that code changes are reviewed efficiently and consistently. By using a structured approach, teams can scale their code review processes to meet the needs of large monorepos with multiple contributors. This involves setting up CODEOWNERS files to assign ownership of different parts of the codebase, creating workflows with GitHub Actions to automate repetitive tasks like linting and security checks, and deploying policy bots or Open Policy Agent (OPA) to enforce coding standards and block non-compliant changes before they are merged. By maintaining scalable code reviews, teams can reduce delays, catch issues early, and ensure that their codebase remains consistent and compliant with project standards.