Ravenna

Ravenna is an AI-powered internal helpdesk automation tool designed for integration with corporate messengers, primarily Slack. Its main value lies in enabling companies to provide efficient and quick assistance to employees directly within their familiar work environment, without requiring them to switch between different applications. This significantly reduces the time needed to resolve internal requests and enhances overall team productivity.

Key features: An AI assistant that instantly answers employees' frequently asked questions using the company's knowledge base. Automatic classification and routing of incidents to the appropriate specialists or departments. Creation and tracking of tickets directly within Slack chat without needing to visit a separate portal. Deep analytics and reporting on requests to identify bottlenecks and recurring issues. Integration with popular corporate systems such as Jira, Google Workspace, and others for automatic task execution. The ability for employees to provide feedback on answer quality for continuous model training.

A distinctive feature of Ravenna is its focus on seamless operation within Slack, making implementation virtually unnoticeable to users. Technically, the tool uses large language models to understand the context of requests and can be trained on the company's internal documentation. It supports integrations with major corporate tools, allowing it not only to answer questions but also to initiate actions, such as creating tasks or requesting access. The platform ensures data security and complies with corporate-level standards.

Ideal for medium and large companies where employees actively use Slack for communication and regularly contact the IT department, HR, or administration with standard questions. This solution is optimal for automating routine support, such as password resets, vacation inquiries, access to corporate applications, or assistance with equipment setup. Ravenna allows specialized departments to focus on complex tasks while the AI handles up to 80% of standard requests, saving time and resources for the entire organization.