The VK Tech team has updated VK Business Analytics, adding AI-powered business process analysis tools. AI helps identify the causes of failures, automatically classify work operations, and prepare tasks for automation.
A multi-process graph has appeared in the Process Mining module, which combines related company processes into a single model based on corporate data. It allows identifying the source of a problem, even if its consequences manifested at another stage of work. For example, in case of order delays, the system helps determine whether the failure occurred during application processing, document approval, or order fulfillment.
Automatic operation labeling has been implemented in Task Mining. AI analyzes records of actions on work computers, identifies recurring sequences, and assigns them names taking into account the company's specifics. Based on this data, the system forms a list of processes that can be optimized and prepares technical specifications for automation and robotization.
An AI assistant has also appeared in the solution, using a contextual model built on Process Mining and Task Mining data. It reflects the actual execution of processes, including actions not provided for by internal regulations. The assistant answers analysts' questions using text, graphs, process diagrams, and dashboards.
According to Andrey Chernenko, business leader of the VK Tech business applications direction, the new tools are designed to reduce the volume of manual work in process analysis and give specialists more time to find solutions and interact with business units.