Executive Assistants face challenges and problems every single day, sometimes every single minute. How are we going to plan a leadership summit this year that actually accomplishes a goal? How will we fit all these must-do meetings into the calendar for the London trip? How can we resolve this payroll emergency before anyone finds out? These are all questions Executive Assistants might face. (And these questions make up just a sampling of potential questions.)
Most Executive Assistants don’t work a typical 9 to 5. They have to be ready and willing to help out when duty calls. And since Executives are never truly off the clock, their “partners in business” never clock out either. Most EAs never repeat the same day twice; that makes an EA’s schedule variable, but incredibly exciting. They might start one day at 6 AM and end the next day at midnight.
The value of Lobster is that every AI assistant is carefully designed and tailored to a specific business-use case that is consistent across web, app, telephony and smartspeakers. In addition, the EBI.AI team are continuously reviewing and improving each AI chatbot with the end goal of increasing lifetime value of each customer. EBI.AI are the brains behind some of the smartest AI chatbots in Europe including Cooper of Coop Sweden, SmartHelp of Legal & General Insurance and Stina of Stena Line.
Problems tend to make some people freak out and shrink up and then energize others and inspire them to spring to action. Executive Assistants that fit the second profile will thrive when it comes to the problem-solving aspect of EA roles. Problem-solving also appeals to people who love a good mystery or puzzle—people who will stop at nothing until they figure out the answer to their problem.
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“Burnout” is a phrase that’s thrown around so often it’s lost some of its impact. Yet any entrepreneur or CEO who’s experienced burnout knows just how debilitating it can be. So how do you avoid it? Many will agree that the first step is delegation. Ensuring there are other hands to pick up tasks that you just don’t have enough hours to do. When you begin delegating to a virtual assistant it’s like paying money into a bank of time and energy. That you can easily reclaim, ensuring your account doesn’t run on empty.
Rulai also integrates with most messaging channels, customer service software, enterprise business software, and cloud storage platforms. You can either build a Ruali chatbot from scratch with its drag-and-drop design console and let its AI adapt to your customers or you can implement a pre-trained chatbot that has been fed data from your specific industry.
Agencies who specialize in private assistants have a unique insight into the private staffing market, they can help to advise you on matters such as salary benchmarking and what is the going rate for particular roles. They will also know what skills candidates are likely to have, and where there may be skills shortages. If there is a surplus of candidates with particular expertise then this would likely affect your chances of recruiting.
According to Grand View Research the global chatbot economy will total $1.25 billion by 2025. A survey done in 2016 by Oracle showed that 80% of business decision-makers said they already used chatbots or plan to use them by 2020. Chatbots.org lists more than 1,350 chatbots and virtual agents in use around the world. Many large brands have created fascinating bots that have hit it off with their customers and their target demographics. Most people already know or use chatbots in some form, such as Siri, Alexa, Cortana and Google Assistant.
Amazon Alexa, Apple Siri, Microsoft Cortana, and Google Assistant are all, to some extent, chatbots. A chatbot is a special computer program using artificial intelligence (AI) that conducts a conversation with people, either via auditory or text input. This is precisely what you do when using Alexa and the other products mentioned. However, none of these apps are as advanced as many other chatbots – they really only give predetermined answers to questions that people ask, rather than using much AI to learn from conversations.