Bentley System
2025
An intuitive knowledge hub for complex AI systems
Xenara AI is an AI-powered platform designed to revolutionize customer engagement. At the heart of the platform lies a highly adaptable Knowledge Base that allows Xenara's AI agents to respond intelligently to user queries by leveraging diverse sources of information.
Problem area
Hard to Grasp, Hard to Use
The biggest challenge in designing the Knowledge Base was balancing functionality and simplicity in a technical environment. Serving as the backbone for training AI agents, it needed to handle diverse inputs – from documents and Q&A to tone configuration and live API testing – while remaining intuitive and approachable for users.
Design goals
What I aimed to achieve
Design decision 01
Making AI-agent settings intuitive and visible
Provide immediate, contextual feedback for changes and settings, so users clearly understand the effect of their actions. This builds confidence, reduces frustration, and lowers the risk of abandoned flows.
1. Personality settings
Fine-tune tone and response style with intuitive controls that make customization effortless
2. Live response preview
See the impact of every change instantly, making AI behavior predictable and easy to refine
Design decision 02
Streamlining API creation and testing
The business requested a single screen to create and test API methods, reducing friction and speeding up workflows. The API section addresses this need, simplifying navigation, making interactions predictable, and building confidence in testing results.
1. Descriptions and examples
Clear guidance and examples help users understand features and avoid mistakes
Design decision 03
Unified and scalable content management
The Content section presents all content types in a consistent, predictable layout that mirrors other sections of the product. This unified approach reduces cognitive load, supports scalable growth, and allows new content types and features to be added seamlessly.
Retrospective
Confidence over complexity
