IntranetAI
An assistant that shares company knowledge and controls who sees what
Employees ask questions in natural language and get answers from all company systems. Permissions are enforced at the database level — the language model has no physical ability to access content the user cannot see in the source system.
Problem
In every large organisation, knowledge is scattered across a dozen systems. Employees spend hours switching between applications — and still can't find half of what they need. Existing enterprise chatbot solutions resolve this with a compromise: either they get overly restricted permissions and deliver no value, or overly broad ones — becoming a data leak vector.
Solution
IntranetAI enforces permissions at the deepest infrastructure layer — at the database level itself. Filtering happens before the model begins searching, not after. The language model never processes content that the user cannot access in the source system.
Security architecture
- Highest level of access control
- Permissions checked before the model begins searching. Even in case of prompt injection, the model has no physical ability to access forbidden content.
- 1:1 permission mapping from sources
- Permissions from SharePoint, Confluence and other systems mirrored one-to-one. No aggregation, no shortcuts — employees see exactly what they see in the original.
- SSO and corporate directory integration
- Login via Entra ID (Azure AD) and Okta from day one. Groups and roles mapped automatically from the organisation's directory.
- Desktop client with no hardware requirements
- Single binary for Mac and Windows. No GPU, no runtime installation, no external cloud accounts.
- Offline mode
- Local model handles simple queries and open-document work. Private files never leave the user's machine.
- Infrastructure under full organisational control
- The entire system deployed in your infrastructure or private EU cloud. No sensitive data passes through external services.
Supported data sources
- SharePoint
- Confluence
- Jira
- Excel
- Word
- GitLab / GitHub
- File shares
- Exchange
- Google Workspace
- Intranet WWW
Let's talk about deploying IntranetAI
We'll show you how the system connects to your data sources and how the architecture eliminates prompt injection as a data leak vector.
Book a call