![]() The AI tools are already out there-you just have to figure out the process that best takes advantage of them. This video shows you how to use the Scheduling Assistant to help handle complex meetings with lots of attendees. Overall, we believe creating and using systems like Calendar.help to manage routine tasks are an easy way for companies to leverage AI in their daily business practice. It also gave us a deeper understanding of the problem we were trying to solve-and let us start evaluating which portions of the work could eventually be performed through AI. Although this was a lot of work, with nearly two years of iterations, it allowed us to get a product into people’s hands early so we could observe their behavior and iterate quickly. ![]() We also followed a humans-in-the-loop approach, creating a prototype that looks and feels real for users, but behind the curtain, there are human researchers pulling the strings and controlling the interface. Dispatchers can refine results by adjusting filters to meet their scheduling needs and find the right resource. Tired of emails or Teams chats back and forth trying to decide when is a good time for you and your coworkers to have a meeting Use Scheduling Assistant ins. A scheduling assistant job varies in different organizations and job settings. ![]() These involve building and testing lo-fi prototypes before gradually iterating on higher-fidelity-and more expensive-designs. After launching the schedule assistant, it populates filters based on criteria like work location, characteristics, territory, resource types, and more. You can enter all the required information directly on the Appointment page, or use the additional features available on the Scheduling Assistant page to find the best time for the meeting. The Appointment page is visible by default. We took a step back and considered long-standing rapid-prototyping approaches in design. The meeting window has two pages: the Appointment page and the Scheduling Assistant page. There is a long history of AI research around building digital personal assistants, but for a number of reasons, none of the early scheduling AI work has taken off. With all the progress happening in AI, we wondered if we could create a virtual assistant that could handle the conversational back-and-forth required for scheduling meetings, much the same way that executive admins schedule meetings for CEOs.
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