"Judge Liu, we have received the arrears of wages, thank you!" Recently, Liu Sai, the enforcement judge of the Haidian Court, has successively received text messages from the applicants for execution, and the good news has been transmitted: they have received wages that have been owed for several months before the end of the year! In the impression, the employees who were owed wages regarded the owner as an enemy, but in this case, these employees did not argue, always believed in the court, believed in the company, and finally got their wages back.
Haidian Court Enforcement Judge Liu Sai
"The implementation of the settlement supervision platform has played a big role!" Liu Sai said.
Not long ago, Liu Sai received a batch of cases, 7 applicants are employees of a technology company, they were owed a total of 200,000 yuan in wages. Liu Sai contacted the company's legal representative Xu Mou, who said that due to the impact of the epidemic, the company had a large number of receivables that did not arrive in time, which led to the arrears of wages to several employees. "When the project is returned to the account, the company will give priority to solving the salary problem of this batch of employees." Xu promised.
Will Xu's promise be just an empty word? Liu Sai entered the company's situation into the implementation and settlement supervision platform, based on the risk level generated by the platform's big data analysis, Liu Sai found that the company has good qualifications and good credit status. Therefore, Xu's words should be trustworthy.
In line with the concept of revitalizing enterprises with enforcement and settlement, and resuming work and production with judicial assistance, Liu Sai interviewed the parties on both sides several times and introduced in detail the mode of multi-party visual participation and application of the enforcement and settlement supervision platform. Through the visualization of data on the platform, employees learned that the company's industry level is high, the development potential is very good, and the actual operating conditions have initially improved, so there is a basis for trust in the company's ability to repay.
In the end, the parties reached an enforcement settlement agreement, stipulating that the company would repay the loan in installments: the first installment would be deducted from the company's account by the court and returned to the applicant executor in proportion to the amount of the application for enforcement; in the second period, the company would remit the remaining amount directly to the applicant executor after one month.
The company has not betrayed the trust of employees, and has recently paid salaries to employees.
Liu Sai detailed the functions of the executive and settlement supervision platform.
First, intelligent analysis of massive business data. With the help of the platform's big data information processing technology and bank credit assessment model, the massive business data of the enterprise over the years is analyzed, and the multi-dimensional indicators such as the development potential, capital background, operation quality, risk status, enterprise scale and intellectual property rights are evaluated and a comprehensive report is generated, and the solvency and operation of the judgment debtor are dataized and visualized.
Second, multi-party supervision overdue early warning reminders. Through this platform, the court, lawyers and applicants can supervise the performance process of the judgment debtor. If the person subject to enforcement operates in violation of the law or fails to repay the loan on time, the platform will promptly send an early warning message to the judge undertaking the case, and the judge can promptly preserve the property under supervision.
Moreover, the performance process data is on the chain in real time. After intelligent analysis, it is found that the risk level meets the requirements, and the judgment debtor and the applicant reach a settlement, the court will strive to adopt flexible methods such as slowing down, batching and gradual enforcement when taking enforcement measures, and supervise the judgment debtor to gradually complete the repayment of debts and gradually enter a virtuous circle of "making money can be repaid". The process of performance by the judgment debtor will also be fixed through the blockchain in real time, and after the performance is completed, the court can promote the credit repair of the judgment debtor through the performance process recorded by the system.
Liu Sai said that the use of the enforcement and settlement supervision platform can ensure that the rights and interests of both parties are guaranteed: on the one hand, the applicant for enforcement can follow up the performance process of the judgment debtor in real time; on the other hand, the judgment debtor can promptly remind the judge to block the information on untrustworthiness after the performance of the contract, help the enterprise restore credit, eliminate the impact, and help the enterprise resume work and production. Moreover, in addition to the information management of the whole process of the actual case and the final case, the platform manages and publicizes the whole process of the settlement of long-term performance cases, covering the information management of the enforcement case to a greater extent, which is conducive to improving the quality and efficiency of the court's enforcement work and ensuring the optimization of the business environment.