In post–refractive surgery eyes, we come across irregular corneas that can be a source of disturbing symptoms, like glare and haloes. These symptoms are accentuated when the patient develops cataract, making planning for cataract surgery a difficult task. We attempt to demonstrate an algorithmic approach to treat these corneal imperfections using corneal tomography and ray tracing aberrometry prior to cataract surgery. By using a customized approach to each case, it was found that there was an improvement in both the uncorrected and best corrected visual acuities for all the patients, along with improved visual quality and regularization of corneal topography. Our algorithm helps improve planning of cataract surgery and delivering optimal quality of vision in post–refractive surgery patients.