Replacing worn mill liners constitutes between 2–5 per cent of lost annual mill availability, making it one of the most expensive maintenance tasks associated with grinding mills. In critical commodities like copper, declining ore grades mean mill operators are increasingly requiring larger-diameter mill sizes (eg 36–40’) to achieve sufficient throughput. The value for a 36–40’ semi-autogenous grinding (SAG) mill can be between US$80k to 200k per hour based on London Metal Exchange (LME) prices of contained metal in ore. Automating mill relining removes personnel from high-risk activities and allows faster machine movements to be applied, consistently and repeatedly, to reduce concentrator downtime. If automation can deliver a 1 per cent improvement (an additional 87 hrs of production) in annual mill availability for a mill-constrained copper plant, it could generate an additional US$9 M–18 M in production value per annum. Leveraging its global original equipment manufacturer (OEM) knowledge and site experience, Russell Mineral Equipment (RME) has advanced the automation of mill relining. System development has taken place in close collaboration with early adopter customers, liner suppliers, and third-party reline crews. It has been a significant program, primarily because of the infrequency of relining events, typically occurring two to three times annually at a site, which limits opportunities for introducing improved processes and technologies. Additionally, in some cases, existing liner inventory must be depleted before automation-ready liners can be implemented. Consequently, RME has taken a modular, systems engineering approach and focused on the roboticisation of field-proven relining technologies. This materially reduces implementation risks and costs for mill operators compared to unproven prototype equipment. Early adopter brownfield and greenfield sites have now completed over 30 relines using a range of RME’s automated technologies. This paper will provide an update on the progress of mill relining automation technologies and methodologies, and report on the quantitative safety and efficiency results achieved. Site data has been video-captured and analysed using time and motion studies combined with discrete event simulation technology. This paper will also share learnings from common implementation challenges that have led to promising developments in upcoming automated relining technologies, ensuring continued advancements in mill relining speed and safety.