Artificial Intelligence is a relatively new field. While it offers many advantages and disadvantages, we will be discussing AI Assistant and its use in relation to creating business productivity tools. We see that AI has great potential in this area but has barely touched the surface despite corporate investment in research and development and experimentation.
The vision is to create a digital bot that seamlessly integrates into your current workflow and acts as a helper by incorporating AI. This not only adds value to businesses but also helps people on a personal level.
In previous years, we have seen countless auto-response solutions that do not offer responses based on different events. So, a market gap was identified where people wanted a true auto-responder that could assist in increasing productivity. From there, many companies started testing different variations using AI to come up with solutions that can scan incoming emails and form a meaningful response as a result.
At present, there are many AI-powered email autoresponders in the market which have been created by technology giants like Google as well as entrepreneurs like Robo Response. These digital bots have different features, some of which we have reviewed for you.
AI Assistant-powered email reply
This is the most basic feature that any AI-powered productivity tool has. The bot is capable of learning about your products and services before it starts answering your emails. In this way, it has more control over new conversations and replies to emails automatically. Some email tools also provide the feature of understanding the intent, context, and sentiment of your incoming emails and in turn creates new and appropriate responses according to each unique situation.
With this feature, though intriguing, we still don’t really know how advanced it is without getting hands-on experience with it.
Most interfaces of these productivity tools are fed with important information about your business services. This allows the email bots to become prepared to generate automatic email responses to any queries they receive. Whatever the AI Assistant or bot learns, it never forgets, which means that it will accumulate a large amount of information about your business over a short period.
Some AI assistants have the option where you can add keywords and relevant terms regarding your business or service. These keywords will then be easily identified within any incoming email. In this way, the bots can identify your services in whatever way they’ve been written.
Only a few assistants offer this unique feature. The email demonstrator is a very handy tool that helps users understand how a specific query will be dealt with by the email assistant. Different interfaces provide dialog boxes where a specific email can be entered, and then the bots’ response can be generated. This also helps users to identify if any query generates a response or not, and if not, then a response can be added to the system. This makes the assistant better equipped to deal with new queries.
Set email responses
Users can feed a set email response to some standard questions about your service or business offerings in this feature. These responses are typical, and the bot can respond with them to straightforward inquiries. Responses can be generated to respond to questions about pricing, contact information, service availability, etc. Some services also allow you to provide attachments that the email assistant will attach with particular queries.
Some assistants allow you to delay or pause certain responses by a few minutes. This option can be selected for queries where a human eye needs to go through the response before it is sent.
Choose between different email response options
Some email managers out there allow users to select between three or more automatically generated responses. Google’s AI provides three options from which you can choose, editing, or improvising along the way.
Some managers are also capable of identifying the tones of different emails. They are programmed to identify the differences between a spam email and a manually written email. Hence, they are trained to formulate one-click responses to the latter, but no replies are generated for spam blasts.
Potential responses get better with time as the email managers learn from the replies selected by users. The managers learn to identify the contextual tones of different emails which allows them to reply in similar tones.
As different startups and established companies are experimenting with personalized AI-driven customer services, user expectation has also increased. Our company inboxes provide insight to AI-driven email managers which helps them gather information about our brand, services, and clientele. The question is now, which platform will offer the most versatile and comprehensive applications and how long it will take before the full potential of AI managers will be unleashed.