✨ This release delivers a broad range of improvements across backend, frontend, infrastructure, data handling, and process intelligence. We introduced new capabilities, optimized existing features, strengthened security, cleaned up legacy components, and resolved several technical issues to ensure a smoother and more reliable experience.
✨ This release focuses on improving usability, stability, and system robustness across dashboards, data modeling, and infrastructure. New enhancements were delivered to improve configuration flexibility and data handling, while multiple bugs were resolved to ensure a smoother and more reliable user experience.
✨ This release introduces major architectural improvements in context handling, expands model configuration capabilities, enhances ServiceNow and process integrations, and significantly improves system stability and UI behavior. The release is focused on strengthening backend flexibility, improving performance, and resolving multiple integration and authentication issues.
Minerva’s Chat UI is designed as a controlled, transparent, and context-aware interaction layer for process intelligence. It combines dimension-bound data access, granular content controls, model selection flexibility, and seamless integration with operational workflows. With features such as confidential message handling, issue conversion, response regeneration, standalone mobile access, and full conversation traceability, the chat interface transforms AI interaction from a simple Q&A tool into a governed, auditable decision-support environment.
Creating a Dashboard tab is the first step toward structured process monitoring and insight generation. Each tab represents a focused analytical workspace, combining selected widgets and filter settings tailored to a specific investigation perspective. By choosing a predefined Dimension from the Builder, assigning a clear title, and organizing relevant visual components, users establish a dedicated environment for tracking performance, compliance, financial indicators, or behavioral patterns. Flexible configuration options, public sharing capabilities, and customizable layouts ensure that dashboards remain collaborative, scalable, and aligned with evolving analytical needs.
