An expert system is described which automatically cursors PERG waveforms of very poor signal-to-noise ratio. The training data-set is derived from shape-perturbated PERG waveforms based on the ISCEV Standard and a series of clinically-normal waveforms. In validation trials, the Expert System is clearly shown to out-perform the Human Expert in the presence of noise. All software was written in MatLab((R)). It is proposed that this system is generic and similarly applicable to other transient recordings. A comprehensive Internet demonstration (SPoC: Smart Positioning of Cursors) is maintained at www.liverpooleye.org.