The name of the base system (platform): | Artificial intelligence (AI, Artificial intelligence, AI) |
Developers: | YR-LI (UR-LI) |
Date of the premiere of the system: | 2020/08/11 |
Last Release Date: | 2021/04/09 |
Branches: | Consulting, including management and personnel, Jurisprudence |
Technology: | BI |
Content |
Main article: Business Process Management
2021: The ability to determine the probability of debt repayment in percent and the amount in rubles
The company "YUR-LI," a resident of the Skolkovo Foundation (Group of ВЭБ.РФ), announced on April 9, 2021 the release of an updated version of the service that helps entrepreneurs solve problems with the non-return of funds from counterparties. Now the application allows you to determine the probability of repayment of debt in percent and the amount in rubles in 4 minutes.
Artificial intelligence analyzes the solvency of the entrepreneur and gives an accurate result in the form of a PDF report, and also makes it possible to carry out streaming scoring, especially relevant for large enterprises with a large number of customers and suppliers.
Thanks to the data of the report at the stage of concluding contracts, it is possible to assess the risks of working with a particular company, while working with counterparties - to understand when to begin active actions on the return of funds when the first delays in payments occur. At the stage of the already clearly arising debt obligations - to determine the prospects and success of the refund financial.
The service independently calculates the probability of recovery and the possible amount. To do this, you need to fill in three fields: the tax ID number of the company being checked, the amount of the debt or contract and the court decision (execution sheet), if any. There are free and paid versions of access to the service.
"For several years we have been seeing a trend towards automation of routine processes. Artificial intelligence successfully replaces a "living" person. The expert LegalTech-system of our resident helps businessmen to solve problems with return of debts and to eliminate tax risks. The service is 240 times faster than a person, and 2.75 times more accurately determines whether it will be possible to repay the debt from the counterparty, so its use is much more efficient and more economically feasible, "said Vladimir Zelenin, project manager of the Skolkovo Foundation Information Technology Cluster. |
The UR-LI system is based and continues to be continuously trained on the cases of practicing lawyers who are members of the project expert group. According to the test results, the conclusions of the neural network and experts converge by 94%.
"Our service was created precisely for entrepreneurs who had previously received an array instead of an understandable answer to their question, but data what to do with it was not clear. UR-LI provides small owners and midsize businesses with specific conclusions and recommendations. However, identifying risks itself does not eliminate pain. We can not only diagnose the problem, but also solve it "turnkey." This is possible thanks to the synergy of three blocks: an online, analysts expert system and an all-Russian aggregator of experts in the field of law, "said the Valery Mayushkin founder of YUR-LI. |
UR-LI analyzes 19 types of data and their relationships:
- INN;
- court decisions;
- the amount to be recovered;
- Fixed assets;
- the amount of existing government contracts;
- receivables;
- accounts payable;
- the total amount of recovery from the debtor by court order;
- balance sheet accounting;
- the sum of the positive "shoulder";
- the sum of the negative "shoulder";
- the balance of cash and assets;
- Regular blocked accounts
- executive records;
- activity of the company in the market without change of controlling persons;
- availability of bankruptcy publications;
- bankruptcy proceedings initiated;
- conducting bankruptcy proceedings;
- actual execution of proceedings.
2020: Launch Tax Reporting Check Service for Errors
The company "YUR-LI," a resident of the Information Technology Cluster of the Skolkovo Foundation, launched a service that allows entrepreneurs to check tax reporting for errors, discrepancies and unintentional illegal schemes. This was announced on August 11, 2020 by the Skolkovo Foundation. The UR-LI legal system, using artificial intelligence, analyzes tax risks and helps to pay attention to violations before the company becomes the object of increased attention of the Federal Tax Service (FTS).
The UR-LI online platform analyzes the same factors of business tax optimization over the last three years of the company's operation as the automated VAT refund control system (ASK VAT-2), which the Federal Tax Service uses to identify tax evasion schemes.
UR-LI verifies reporting on value added tax, income tax, and other charges. As a result, a report is generated indicating the probability of the appointment of a camera or field check, as well as the presence of signs of illegal business fragmentation.
In addition, the system automatically checks each counterparty of the company for reliability and analyzes transactions for whether the Federal Tax Service has reason to suspect their fictitiousness. An additional function for calculating the possible amount of tax surcharges and penalties when loading a working balance sheet (OSV) is already going through the beta test stage.
Valery Mayushkin, founder of YUR-LI: {{quote 'Our service is for small and medium-sized businesses that work legally and do not purposefully implement gray schemes. But the lack of direct intent does not at all insure business against violations of tax laws. Using the UR-LI service, entrepreneurs can identify such risks and eliminate them in time. And, thus, avoid additional checks by tax authorities, additional charges, fines and other serious consequences. }}
The service is based on a patented software algorithm that analyzes 16 types of data:
- taxation system;
- company turnover;
- assets;
- company expenses;
- the amount of tax deductions;
- checking companies by inn "around" the company being checked;
- Number of staff;
- reliability of contact details (legal address, telephone number, etc.);
- Balance Sheet (GMS)
- turnover for each transaction (from JLM);
- the ratio of accruals to cost statements for each transaction (from JLM);
- reliability of the company involved in the particular transaction;
- the likelihood of increased attention from tax authorities;
- signs of business fragmentation;
- the amount of possible tax surcharges;
- Scope of possible fines.
As of August 11, 2020, access to the service is provided to entrepreneurs for free. But subsequently, a paid subscription is planned.
Projects for the creation and development of information systems of mining analysis and management using artificial intelligence technologies, which contribute to increasing the efficiency of processes, are one of the priority areas that the Skolkovo Foundation Information Technology Cluster supports and develops. The company "YUR-LI" offers a solution that allows entrepreneurs to get important information on tax violations on time. |
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