Start with source quality, permissions and freshness.
AI knowledge base →OXIAE / AI AGENTS & CHATBOTS
Internal AI assistant.
Give employees one entry point to the information they are allowed to use.
Discuss your projectManage knowledge, chat with documents or build RAG?
Staff need to ask questions about a bounded document collection.
Chat with business documents →You need custom source selection, integration and evaluation.
RAG system development →UNDERSTAND THE SERVICE
What does an internal AI assistant do?
An internal AI assistant helps employees find and understand information from permitted business sources. It can answer questions, summarise passages and reference documents. Oxiae makes access boundaries and information maintenance part of the solution.
When it is a good fit
Useful when employees repeatedly search manuals, procedures or project documents. A reliable source for the answer must exist.
When to take a different approach
A shared folder without clear permissions is not sufficient for confidential knowledge. Establish access rights and which information is current first.
PRACTICAL DECISION GUIDE
An internal assistant must respect information boundaries
An internal AI assistant often combines documents from several departments. Retrieval must account for user identity before passages reach the model. A prompt saying that HR information is private does not create technical separation between employees. [1]
The assistant is organized around everyday questions and accountable source owners. Answers point to retrievable documents; missing or conflicting information prompts a focused clarification or handoff. Tests cover different roles, including a person whose document access has been revoked. [2]
Compare knowledge search, document chat and access requirements in the AI search and business knowledge overview. Use that comparison to decide which part of the information process needs work first.
Questions to settle first
- Who owns access rights and freshness for each source?
- How quickly must revoked access affect search results?
Make acceptance measurable
- Role tests show protected passages absent from search context and answers.
- A question set checks citations, freshness and appropriate abstention.
Compare your options
Choose based on the task, the people involved and what you can maintain.
| Approach | Useful when | What to consider |
|---|---|---|
| Internal search | Employees mainly want documents and passages. | Users interpret the information themselves. |
| Knowledge assistant | Employees want an answer supported by sources. | Both retrieval and summarisation need testing. |
| Assistant with actions | The assistant must perform tasks in an application. | Actions need separate authorisation, confirmation and logging. |
What I need to start
- An inventory of sources and document owners.
- Permissions applied to both retrieval and answers.
- A policy for versions, deleted documents and conflicting information.
How to assess the result
- Users cannot see documents they are not entitled to access.
- References open the passage supporting the answer.
- Changes and deletions are processed as agreed.
SCOPE & INVESTMENT
What determines the cost?
A useful estimate starts with the scope. I distinguish development work from recurring usage and operating costs. These are the main drivers:
- Sources, documents and permission models.
- Update requirements and access methods.
- Users, query volume and maintenance arrangements.
APPLICATION AND SCOPE
Your challenge.
A practical application.
Illustrative scenario; not a published client case.
Employees search separate systems for policies, manuals and project knowledge.
The assistant is the entry point for employees; the AI knowledge base defines the maintained information behind it. If the main task is asking questions about a limited document collection, chat with business documents can be a narrower first application, with the same attention to citations and permissions.
THE QUESTION I ASK FIRST
Which documents are current, and who may see which information?
Agree the first step
Use the prerequisites, acceptance checks and cost factors above to define your assignment. Agree who can approve the outcome and who will maintain the solution. The project approach explains discovery, delivery and handover.
Read the project approachQUESTIONS ABOUT THIS SERVICE
Your questions.
Clear answers.
Can everyone see the same information?
Only if the underlying permissions allow it. Confidential content requires per-user or per-role checks for retrieval and use in answers.
What happens when documents disagree?
The assistant should show uncertainty and reference the sources. An information owner must decide which version is authoritative.
Sources and technical basis
These primary sources explain the technical principles behind this guide. The project recommendations are OXIAE’s interpretation; they do not imply endorsement by the publishers. Product documentation applies to the named platform.
- Security filter pattern in Azure AI SearchMicrosoft Learn
Platform example of user-scoped search filtering.
Link and relevance checked: - Authorization Cheat SheetOWASP
Principle of authorization outside model instructions.
Link and relevance checked:
YOUR NEXT STEP
Prepare your project conversation.
Exploring Internal AI assistant? Use the project checklist to describe your task, systems and intended outcome. Collect open questions and download a brief for your conversation.
Create your project brief