The key facts

  • The Tax Committee launched the AI module 'Express Audit' on the AI Soliq platform to identify tax problems and prepare recommendations
  • The module shows the tax regime, sustainability rating, obligations, debts, and discrepancies between obligations and payments
  • A chatbot, voice queries, period and currency selection, font customization, and voice playback of answers are supported

New AI Service for Businesses

The Tax Committee of Uzbekistan has launched a module for analyzing the tax situation at enterprises using artificial intelligence, the committee's press service reported. The 'Express Audit' service is designed to identify problems in the tax sphere and prepare recommendations for their resolution. It is available to businesses on the AI Soliq platform.

What the Module Shows

The module displays basic information about the enterprise, including its tax regime and sustainability rating score. The service includes two blocks: 'Tax Obligations' — with data on tax reporting submissions, tax payments, and debts; and 'Deficiencies and Recommendations' — with notifications about suspension of operations on a bank account, discrepancies between tax obligations and payments, and other problems.

How the Analysis Works

For a quick analysis, you need to press the 'Start' ('Boshlash') button on the express audit panel. The module will display, in chat format, the main problems requiring resolution and recommendations for eliminating them. The user can analyze the situation in a specific area: for example, in the case of tax debt, the system will generate a table breaking down the amount by types of taxes and penalties for non-payment. The entrepreneur can select the period for which data is displayed and the currency for measuring amounts.

Chatbot and Additional Features

In addition to buttons for selecting a specific area, the user can type a query into the built-in chatbot; the module also supports voice queries. Font size customization and automatic voice playback of answers are available. The system stores previous queries and provides repeated access to them when needed.