AI's potential in scientific research is bottlenecked by the challenge of interfacing with the physical world. This article explores how industrial control systems, like PLCs and function block diagrams, provide a scalable, verifiable solution for automating experimentation in chemistry and biology. Discover a practical roadmap to transform R&D productivity without waiting for general robotics.