AI Runtime Dashboard
Assistants, chat, document analysis, and content processing.
Project overview
From operating need to a usable digital system.
An independent runtime for compatible models inside private infrastructure rather than sending every AI operation to an external API.
Business challenge
Operations relied on manual steps and data scattered across tools. The solution focused on integration, observability, and control over data and model execution. Assistants, chat, document analysis, and content processing.
Critical flowClassification, extraction, and summarization.
Solution approach
What we designed and delivered
Product structure, workflows and operational controls translated into an executable experience.
- Assistants, chat, document analysis, and content processing.
- Classification, extraction, and summarization.
- Vector database integration for RAG.
- Greater control over data, models, and internal applications.
- Independent service reusable across applications.
Technology & capability
OllamaLocal ModelsDocument ProcessingRAGPrivate AI
A usable, scalable operating foundation was delivered, reducing manual steps and improving observability.
UI / UX journey
Interfaces built around real roles and tasks
Concept UI/UX visualizations based on the documented project scope.
Model Library
Classification, extraction, and summarization.
Prompt Workspace
Vector database integration for RAG.
Resource Monitor
Greater control over data, models, and internal applications.
Design gallery
Scroll Private AI UI/UX
Click any image to inspect the full interface board.