AI spots tax risks before audits in Kazakhstan

According to Zakon.kz, artificial intelligence in Kazakhstan is being used to identify tax risks before audits begin. The idea is to spot deviations early rather than deal with them after the fact.

Systems like this work on a common principle: they compare large volumes of data and highlight what stands out from the usual picture. That changes the order of events, because questions for a company can arise before it notices a gap in its own books. The cleaner the data and the faster discrepancies can be explained, the calmer any dealings with regulators tend to be.

If your 1C, bank statements and source documents don't fully match, it is better to find the gaps yourself. Once a month, compare turnover across periods, check statements against documents and write down an explanation for every sharp jump. This reconciliation can be handed to an agent: 1Cifer reads 1C, the bank and spreadsheets at once and flags anomalies and suspicious operations before a person would.