Research

The aim of the study is to develop a model for analyzing document management workflows based on process mining techniques, which includes:

• A representation of document workflows based on business roles, which ensures the grouping of document processing tasks according to task types and executor roles, thus allowing the identification of the most typical workflows
• Metrics for evaluating workflow efficiency in terms of workflows, structural units, employees, and time
• Methods for analyzing actual document processing workflows, and for evaluating the compliance to the reference workflows

The research has been succesfully completed.

The aim of the research is to explore the current advances in the field of agentic AI and to develop a model for an AI agent-based solution that enables the automation of document management workflows out of scope of previously available automation technologies.
The research focuses on automating the processing of regular incoming documents, including:

• Classification of received documents by category
• Summary generation
• Metadata extraction
• Routing to appropriate assignees.

The research has been launched.