Building an agent is one thing. Introducing autonomous systems across an engineering organisation is another. We will explore what it takes to move agentic AI from small-scale experimentation towards wider engineering adoption. We'll also examine how teams can define useful levels of autonomy, translate intent into reliable agent behaviour and validate emerging approaches across a larger group of engineers. Key takeaways: →Move agentic AI from individual experimentation to repeatable engineering practice. →Define appropriate levels of autonomy, oversight and control for different use cases. →Identify the technical and organisational barriers that emerge when adoption begins to scale.