Use case
AI knowledge base with source references
Employees lose time searching, asking around and waiting for the right answer. With an internal knowledge assistant you find policies, processes and document knowledge straight away, with source references.
ApproachAI Build Sprint
Industry
All sectors
Type
Knowledge base agent (RAG)
Deployment
Direct answers with sources
Connected systems
Sound familiar?
Are you running into this too?
Internal knowledge is everywhere and nowhere. The right answer is scattered across SharePoint, Teams, Drive, Confluence, old PDFs and emails, often in several versions. Your employees know it is somewhere, but not exactly where, or which version is current.
So they search, and when they cannot find it, they interrupt a colleague or a specialist in HR, IT or legal. Answers come late, differ per person and cannot always be traced to a current, authoritative source. Meanwhile specialist work piles up because of the same repeat questions.
This is exactly what an internal knowledge assistant is for: not to replace your people, but to make knowledge instantly findable. One place where you ask a question in plain language and get a verifiable answer with source references, within the access rights someone already has.
The solution
What does the solution look like?
Your employees ask questions about internal documents, manuals, policies, contracts and SOPs in plain language. The solution searches permitted sources, gives a verifiable answer with source references and, where needed, prepares a follow-up step or escalation. That way you stay in control of sensitive exceptions, while many standard questions are handled faster and more consistently.
- Your employee digs through SharePoint, PDFs, chats and old emails to find the right answer.
- When in doubt they ask HR, IT, legal or a colleague to explain, so experts keep getting interrupted.
- Answers come late, differ per person or miss the current source.
- Your employee asks the question in chat or a portal and gets an instant answer with source references.
- The agent searches only permitted sources, summarises the relevant passages and prepares a follow-up step where needed.
- Exceptions or sensitive questions go through to the right specialist with context, source passages and a log.
Step by step
How does it work?
An employee asks a question via chat, portal or search bar about a policy, SOP, contract or manual.
The agent retrieves relevant passages from permitted sources, gives an answer with source references and, where needed, prepares a ticket or draft action.
Your specialist reviews exceptions, sensitive policy and missing context, and adjusts the knowledge base where needed.
Work it out yourself
What does this deliver?
Calculated per vraag. Adjust the numbers to your situation.
Net saving per month
Time per month
Per year
Equivalent to
Figures for illustration. In an introduction or demo we work it through with your own numbers.
Here is how we approach this.
We may be building this particular use case for the first time. The way we take agents to production is not. Within the AI Build Sprint it goes live in four to eight weeks, for a fixed price and a fixed scope, connected to your own systems.
The concept always arrives in your house style and format. Your data stays within your own environment. And your people keep control: the agent delivers, the colleague checks and sends.
New to you. Proven for us.
- Agent systems already running in production at clients
- A fixed price for a fixed scope, live in four to eight weeks
- A live demo of what we have already built, so you can see the quality
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Curious what this would deliver for you?
In 20 minutes we look together at whether this use case fits and what the first step is.
No sales pitch. 20 minutes about your situation.