TellusR AI Dialogue

Secure AI chat and a flexible assistant framework for enterprise data

TellusR Dialogue is a scalable microservice delivering secure AI-driven chat against your organisation’s selected content – internal or external. Shipped as a standard product, installable behind your own firewall for maximum data control.

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TellusR AI Dialogue – chat interface screenshot

Standard features

Retrieval

Uses TellusR AI Search as the retrieval component to find and rank relevant content across selected sources. Boost Graph: dynamic boosting and filtering of content using LLMs. Increases precision in context selection by exploiting knowledge of where chunks sit in the content structure or how they are categorised.

Assistant configuration

Support for building your own assistants and assistant pipelines.
Use preconfigured assistants with proven standard setups. Your first chat assistant against your own data is just a few clicks away.
Examples of predefined assistants: metadata generation from documents, document-level chat, and AI overview as an informative supplement to search results (AI Search +).
Support for MCP (Model Context Protocol).
Built-in prompt editor.
All functionality exposed via APIs.

Observability and quality assurance

Includes a test framework with both static tests and LLM-based evaluations, so you can validate changes, compare versions and catch regressions before production.
Full traceability and deep debugging across the whole chat pipeline, with insight into context, prompts, intermediate steps and generated answers – making troubleshooting and QA significantly easier.

DiBK’s internal work tool Arkivslurpen is built on TellusR and processes the several thousand inquiries the directorate receives every year, extracting information from previous answers to make case processing in our response service faster and more accurate. It lets less experienced staff answer quickly and correctly, while we retain full control of data sources.

Kari Befring Bjørnstad Director for innovation and digitalisation, Norwegian Directorate for Building Quality

Key benefits

Chat with selected, pre-approved knowledge – never open to the internet.
All processing and storage happens on your terms, locally or in your chosen cloud.
Freedom to choose the language model – avoid vendor lock-in and switch easily between cloud providers or your own models, with low switching cost.
Install where you want, seamlessly integrated into your existing IT architecture – typically production-ready in hours, not weeks.
Built-in AI test framework ensures high production quality and reliability through continuous testing and validation.
Logging, traceability, insight and audit give documented control over interaction and data flow.
The dialogue uses only the dataset you define – ideal for sensitive content, internal policies or specific line-of-business systems.

Value

Significantly faster information retrieval with AI chat than via traditional search or support systems.

Reduces errors and data leaks compared to open AI services – ensures sensitive information never leaves the organisation.

Increased employee productivity: immediate access to up-to-date, quality-assured information – fewer interruptions in the working day.

Modern user experience: the same functionality as familiar AI chat tools, but on your security terms – with no compromise on privacy.

Typical use cases

Internal knowledge base with AI-assisted chat, e.g. HR, operations, regulations, records or project data.
AI-based self-service for employees or customers, with precise control of available content.
A safe AI chat gateway for external partners or customers – with full audit and control.

Works with systems such as

CRM systems (e.g. Salesforce, HubSpot) for customer follow-up and information.
ERP systems (e.g. SAP, Microsoft Dynamics) to connect AI chat to operational and financial data.
Intranets and internal document databases (SharePoint, Confluence) for regulations, HR and quality assurance.
Email and collaboration tools (Confluence, SharePoint, Teams, Slack) for AI-assisted information flow and dialogue.
Line-of-business systems and specialist databases (production data, operations systems, archives) where AI can fetch and deliver insight in real time.
External data systems and cloud APIs for controlled data exchange with partners, public registers or external information sources.

Partners

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