Waii's 1.31 release introduces Admin Tools - a comprehensive suite of capabilities designed to help you successfully deploy and manage conversational analytics and SQL coding agents across your organization.
Multi-tenant by Design
From day one, Waii has been architected as a multi-tenant system, available both as SaaS and self-hosted. This foundation provides robust security and privacy controls that govern:
- Which teams or users can access specific databases, tables, columns, and rows
- Access permissions to different parts of the knowledge graph and unstructured data
- LLM model availability and usage parameters
Unified Admin Experience
The new Admin Tools consolidate monitoring and configuration into a single integrated view, giving administrators unprecedented visibility and control:
User Management
- Easily onboard and configure new user groups
- Define granular access permissions aligned with your security policies
- Customize the experience for different teams based on their needs
Usage Analytics
- Monitor how teams are utilizing the system in real-time
- Identify where users might be encountering challenges
- Spot adoption patterns and optimization opportunities
Proactive Configuration
- Address usage challenges by enhancing knowledge graph configurations
- Fine-tune model parameters based on actual usage patterns
- Deploy targeted improvements to boost team productivity
Enterprise-Ready Scaling
For organizations deploying AI-powered analytics at scale, Admin Tools dramatically simplify operations. Instead of managing multiple disconnected administration interfaces, you now have a central command center that provides both the big picture and detailed controls.
For example, if analytics reveals that the marketing team frequently runs into accuracy issues with specific types of queries, you can immediately enhance knowledge graph configurations for their datasets, provide additional context for the models, and monitor the improvement in real-time.
This release represents a significant step forward in making enterprise AI deployment more manageable, measurable, and successful across your organization.