Yulia Chernoutsyan CEO of

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call center software manufacturer MightyCall


AI tools are actively used in business communications with clients. If 5 years ago speech technologies and robotic phone calls were exotic, now almost half of all requests to medium and large companies are processed by voice robots without human participation. For example, in the banking, insurance and IT sectors, up to 80% of requests in the company are processed by AI assistants, and in retail and real estate services this figure reaches 60-70%.

Connecting voice AI assistants is justified if the company receives more than 300 requests per day. The robot can take a call and take on some of the operator's routine tasks: convert a request from voice to text format, enter it into the CRM database, direct the client to the right specialist, and provide an initial consultation. AI assistants help to lebanon telegram database simultaneously process multiple requests at any time of the day. This saves companies personnel costs by at least 30-40% and significantly increases the speed of processing client requests.

Business of any type — from startups to large corporations — is now switching to omnichannel platforms for communicating with clients, where some communications take place in chatbots, messengers or by mail, and some by phone. Such platforms also use AI algorithms that allow the manager to manage the entire history of communication with the client and switch to a convenient format at any time. The client can leave a request in a messenger or chatbot, a company employee will discuss the details with him by phone and send documents by mail.

Conversational chatbots are increasingly used in omnichannel platforms. They are able to recognize speech and give the client a verbal or written answer even to a non-standard question that is not provided for in the script. Such bots, unlike classic chatbots, do not act according to a strictly specified scenario, but are constantly learning in the process of work. We see a growing demand for such tools in sales and customer service departments in EdTech companies, real estate, tourism, banking and insurance businesses.