  *Context*. In the framework of the PLATO mission, to be launched in late
2026, seismic inversion techniques will play a key role in the mission
precision requirements of the stellar mass, radius, and age. It is therefore
relevant to discuss the challenges of the automation of seismic inversions,
which were originally developed for individual modelling.\\ *Aims*. We tested
the performance of our newly developed quality assessment procedure of seismic
inversions, which was designed in the perspective of a pipeline
implementation.\\ *Methods*. We applied our assessment procedure on a testing
set composed of 26 reference models. We divided our testing set into two
categories, calibrator targets whose inversion behaviour is well known from the
literature and targets for which we assessed manually the quality of the
inversion. We then compared the results of our assessment procedure with our
expectations as a human modeller for three types of inversions, the mean
density inversion, the acoustic radius inversion, and the central entropy
inversion.\\ *Results*. We found that our quality assessment procedure performs
as well as a human modeller. The mean density inversion and the acoustic radius
inversion are suited for a large-scale application, but not the central entropy
inversion, at least in its current form.\\ *Conclusions*. Our assessment
procedure showed promising results for a pipeline implementation. It is based
on by-products of the inversion and therefore requires few numerical resources
to assess quickly the quality of an inversion result.
