Hiring decisions all over the world have faced a major problem of hiring bias that inherently seeps through in the final selection processes as well as the initial stages of hiring. To curb the same, smart systems and robotic interventions are doing the hard work to eliminate the bias risk. A qualitative study was undertaken to understand whether hiring biases through AI interventions have been reduced to some extent. The study was undertaken in the state of West Bengal wherein there are various IT and ITes industries and the data were collected through a structured interview from the hiring managers. Through the qualitative study it was found that if a comparative analysis is done before and after introduction of AI in hiring decisions, a marked difference in hiring bias could be seen. This study has further scope if undertaken for a larger group and a scale could be created to measure the degree of biasness in the hiring process for bulk hiring process as well.