This thesis aims to the study of Intelligent Personal Assistants (IPAs) applied in the automotive field, proposing and testing an implementation. In the first section, IPAs are studied from the first implementations to the current state of art, understanding how they became so popular, with an overview on the advances in speech and voice technologies. Then an automotive personal assistant is designed and implemented, integrating some of the most popular technologies and expanding their functionalities. The proposed approach is based on Alexa, one of the leader virtual assistant AI on the market; new capabilities, called skills, can be developed and customized to offer new voice experiences to the speaker and, in this case, the driver.