Manufacturing teams struggle to integrate AI into existing experimental workflows without disrupting operations

Factory automation managers and robotics engineers need to incorporate AI decision-making into their experimental processes, but lack clear frameworks for how to architect these systems without halting production or requiring complete workflow redesigns. Current robotics solutions treat AI as an afterthought rather than a core operational component, forcing teams to choose between maintaining legacy workflows or undertaking risky, expensive overhauls.