Additive manufacturing represents a family of processes that differs from other processes through long manufacturing times and series that range from the single part to just a few units. It is then essential to implement the tools that will guarantee the quality of the parts made. Today, the main existing “tool” is the operator who acts on the machine and “monitors” nearby during manufacture. It is this empirical monitoring that in many cases allows a process to stop and possibly correct the manufacturing range being carried out. Disruptive phenomena are also sometimes very difficult to identify where they are only late when their impact is already critical on the material health of the room. Moreover, the security to be put in place for the use of robotic equipment, which is increasingly present with the advent of DED-wire technologies, obliges operators to move away or even be isolated from the manufacturing area. The value of being able to set up digital tools for monitoring implementation is immediately derived from all of these usage constraints. IREPA LASER seeks to establish a correlation between sensors and what operators perceive to create a personalised dashboard for each operator and then set alert thresholds based on their skills.