Project Spotlight: CARa

A recent survey from adobe discovered that the average employee spends 3.1 hours a day checking their emails. Of those, the vast majority constitute little more than a glorified distraction from more important tasks. The issue is that in order to know which emails are important and which aren’t, you must spend time on every single one. At minimum, you read the subject line and message preview, before making a half-second judgement on whether it’s even worth the open. Multiply this process by a hundred emails or so a day, and a significant portion of your time vanishes into the inbox abyss.

CARa is an AI-enabled system that puts this issue to rest for good. Without getting technical, think of CARa as a far more sophisticated version of “email rules”. Using a proprietary algorithm based on state-of-the-art reinforcement learning and sentiment analysis models, CARa learns the patterns with which you interact with your email inbox. Capable of automatically categorizing, prioritizing, and responding to emails, the system allows you to automate away as much of this daily task as you feel comfortable with. CARa ensures you only deal with messages that she has been taught require your direct attention, while all others are handled in line with your expectations. With enough data, CARa is able to respond to messages with the exact style and voicing that you would actually use, making a response from her completely indistinguishable from you to the recipient.