OREKA IT DEVELOPS OLAIA, AN AI-POWERED VIRTUAL ASSISTANT TO OPTIMIZE ENTERPRISE INFORMATION MANAGEMENT

In an increasingly complex business environment where managing large volumes of data has become a major challenge, Oreka IT has developed OLAIA, a virtual assistant powered by artificial intelligence. This tool is specifically designed to enhance how companies search, access, and analyze information scattered across systems such as ERP platforms (notably SAP), documents, and other corporate sources.

Unlike traditional virtual assistants, OLAIA leverages deep learning techniques to flexibly interpret various forms of user queries, enabling interaction without requiring predefined formats. This contextual understanding makes OLAIA adaptable to different user profiles within an organization.

One of its key features is its real-time integration capability with critical business systems, including SAP and Microsoft Teams, as well as its compatibility with multiple document formats such as PDF, Word, and Excel. Its multilingual processing capabilities also support deployment in international environments.

OLAIA functions as a bridge between different corporate data sources—from databases to emails—delivering accurate responses without requiring users to leave their usual workspace. This allows for automation of routine tasks and frequent queries, especially in departments like Human Resources, where it can independently manage requests such as leave applications or meeting scheduling.

The solution can be trained using curated data sets selected by the organization itself, ensuring that only authorized and relevant information is accessible. This feature is particularly valuable in sectors where information control and access security are paramount.

Beyond its technical capabilities, OLAIA features an intuitive interface that does not require advanced technical skills, facilitating adoption across different departments.

With this development, Oreka IT aims to address a growing need in industrial and business environments: reducing the operational burden of manual information management and increasing efficiency through advanced natural language processing and system integration technologies.