The article notes that companies are increasingly using AI and analytical tools to detect anomalies, assess risks and monitor operations, including in procurement, interactions with counterparties and financial transactions. Such solutions enable the automation of compliance processes and enhance the effectiveness of internal controls.

At the same time, it is emphasised that the deployment of AI is associated with a number of significant challenges, including the opacity of algorithms, the risk of errors and bias, as well as dependence on the quality of input data. Particular attention is paid to issues of accountability for decisions made using automated systems.

The author notes that, when properly implemented, AI can become an important tool for improving the effectiveness of anti-corruption programmes. However, its use, including for anti-corruption purposes, requires the development of clear governance approaches, ensuring transparency, accountability and compliance with ethical standards, and should be accompanied by the strengthening of control and risk management mechanisms.