We use AI in two cases:

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It is important to note that the introduction of AI in medicine requires restraint, as the technology cannot and should not replace the doctor and his professional judgment. Therefore, we use AI as an auxiliary tool for collecting and analyzing information and providing data to the doctor as quickly as possible and in a format convenient for him.

Dmitry Chirkov, Chief Operating Officer, Doma.ai



The first option is to help residents create requests. For example, when jordan telegram database describing a problem for which a resident wants to send a request to the management company, a trained neural network automatically determines the classifier, i.e. it sees the essence of the problem and the specific location in the building. Thus, one operator of the dispatch support spends about 10 seconds less than usual.

If you take 100 operators and calculate how much time is spent per month with such work, you can see significant savings. Moreover, we do not torment residents in the mobile application when choosing a classifier, but offer to describe the problem in their own words.

The neural network has already processed more than 730 thousand applications, and this is not the maximum figure. We continue to improve it, train it further. Our goal is for it to work better than the operator.

The second option helps accounting staff when creating reports. For example, a legal entity decides to pay for cleaning and issues a payment document for this. The deterministic algorithm system checks the purpose of the payment and the recipient, and then automatically enters the category in the report. This saves a lot of time. Previously, the accountant had to enter the category manually - it took several hours to process all the applications. Now the accountant spends minutes on this. It should be understood that this function is used iteratively, but constantly. On average, one of our clients makes about 50 payments monthly.