We are thrilled to unveil the Ruby Release of Kanverse.ai, packed with cutting-edge features and enhancements to revolutionize your workflow processes. This release introduces an improved dashboard layout, new reporting and monitoring functionalities, and self service training studio.


New Features
1. Reporting
The new feature enables users to analyze data effectively for crucial data-driven decisions, transparency, and maintaining compliance.
- Ad-hoc reports: Create reports on the fly for a specific use or to answer a precise question.
- Canned reports: Schedule reports to your mailbox on daily, weekly or monthly frequency.
- Platform reports: Predefined reports to monitor various performance and usage metrics.
2. Platform Health Monitoring
Tools and capabilities designed to improve platform performance, enhance reliability and ensure availability.
- Alerting and Notification: Customizable alerting options based on thresholds or anomalies.
- Log Monitoring: Enhanced log mechanism to help identify errors and issues faster.
- Application Performance Monitoring: Proactive and automatic detection of potential issues like slow queries, high resource usage, API unavailability and connectivity issues
3. Quick Filters
Tools to allow users to filter data or lists based on predefined criteria, particularly useful for focusing on relevant items quickly.
4. Self Service Training Studio:
Designed to empower users to independently create, train, and deploy AI models without needing extensive programming skills or deep technical expertise.
- An intuitive user interface that allows users to navigate through various functionalities easily.
- Users can upload datasets and utilize automated processes to train models.
- Offers options for data preprocessing and configurations like feature selection and model types based on specific needs.
- Enhanced auto-learning process offering better transparency, make changes to existing data fields, or add new data fields to existing models.
Enhancements
1. Operation Dashboard
A redesigned dashboard offering a more intuitive interface, making it easier to navigate and access frequently used features.
- Analysis of invoice inflow by stages, channels and months.
- Analysis of invoices touched by human in the loop by extracted fields, derived fields, user input fields, top vendors and months.
- Analysis of non-invoices by reviewed status and file types.
2. Role Based Access Control
New roles that simplify access management and improve operational efficiency.
3. Email Viewer
A simple and effective feature to view all your emails in the Kanverse UI for an enhanced user experience.
4. User Interface Updates:
Minor UI tweaks have been made to improve consistency across the platform.
5. Help Videos:
New set of videos designed to provide support across various topics are available in the help sections.
Platform Technical Debt
1. Query Optimizing:
Improved DB Query optimizing for resource-intensive tasks, leading to faster application loading times and smoother operation.
2. Lazy Loading Strategy:
Implemented lazy loading performance optimization technique for improving load times, reducing bandwidth usage and enhancing user engagement.
3. API Playground:
An API Playground for developers, providing an interactive environment to experiment with and test end system APIs.
4. Reprocess and Revalidation:
These features are designed to reprocess and revalidate multiple documents in a single click.
5. Introducing Multi-Model AI Systems:
New multi-model systems for cross-validation among multiple AI models, enhancing the overall reliability of the system. Employing multiple models allows for decisions that are fairer and more contextually appropriate.
6. SAP Connector:
Kanverse for SAP delivers a standardized way to access SAP data and streamline validation workflows.
7. PO Analytics:
Visual logs to support analytics in PO matching mechanism.
Coming Soon
- AI Agent Powered Insights: We're developing an AI Agent for AP to provide deeper insights based on real-time analysis of your invoices.
Stay tuned for more updates.

