Start with source quality, permissions and freshness.
AI knowledge base (this service)BLACKOPS SOFTWARE / AGENTS & INTELLIGENT INTERFACES
AI knowledge base.
Make company knowledge searchable with answers that lead back to the source.
Discuss your projectManage knowledge, chat with documents or build RAG?
Staff need to ask questions about a bounded document collection.
Chat with business documentsYou need custom source selection, integration and evaluation.
RAG system developmentUNDERSTAND THE SERVICE
What makes an AI knowledge base reliable?
An AI knowledge base starts with governed sources: who may access a document, which version applies and who keeps it current? We organise ingestion, findability and source references around those agreements. A chat interface can sit on top, but does not replace source management. Answers should show their evidence or clearly state when knowledge is missing.
When it is a good fit
Staff search across scattered documents and someone can own source quality and access permissions.
When to take a different approach
If sources are outdated or contradictory, begin with cleanup and ownership. A model cannot reliably invent missing company policies.
Compare your options
Choose based on the task, the people involved and what you can maintain.
| Approach | Useful when | What to consider |
|---|---|---|
| Searchable knowledge base | Users want to find documents and judge them directly. | Easier to inspect; requires clear documents and titles. |
| Document chat | Users ask questions about a bounded collection. | Answers must refer to relevant passages. |
| RAG system | Source selection must integrate with several systems. | More retrieval control, with more maintenance and evaluation. |
What we need to start
- A source inventory with owners, freshness and permissions.
- Example questions with passages that support the answers.
- A process for updating, withdrawing and deleting documents.
How to assess the result
- Users cannot obtain information from sources they may not access.
- Updated or deleted sources are synchronised as agreed.
- Unsupported questions do not produce invented company policies.
SCOPE & INVESTMENT
What determines the cost?
A useful estimate starts with the scope. We distinguish development work from recurring usage and operating costs. These are the main drivers:
- Number of source locations and differences in document quality.
- Complexity of permissions and synchronisation.
- Evaluation questions, freshness agreements and content ownership.
01 / PROBLEM & POSSIBILITIES
Your challenge.
A practical application.
Valuable information is spread across documents and internal platforms.
Make company knowledge searchable with answers that lead back to the source. We agree what the solution should do, which information it needs and how the result will be assessed.
THE QUESTION WE ASK FIRST
Who manages the knowledge, and when does a document expire?
02 / FROM QUESTION TO SOLUTION
An approach with
clear steps.
You stay informed about decisions, progress and delivery. We adapt the scope to your organisation.
Define tasks and sources
Who manages the knowledge, and when does a document expire?
Test with realistic scenarios
We use representative examples and discuss the results, making assumptions and limitations visible before proceeding.
Introduce gradually and evaluate
We document the agreed outcomes, responsibilities and next steps.
03 / A PRACTICAL FOUNDATION
Designed for your
systems and requirements.
Technology that fits
Your knowledge base, website, CRM, document environment and existing support channels, subject to available access.
Security and control
We limit permissions and actions, test for unwanted instructions and include handover to an employee in the design.
A possible application
Valuable information is spread across documents and internal platforms. The project can start with one focused component. Together we assess whether expanding it makes sense.
Illustrative scenario; not a published client case.04 / WHAT TO EXPECT
Your questions.
Clear answers.
Is an AI knowledge base the same as a chatbot?
No. The knowledge base manages sources, permissions and freshness. A chatbot is one possible interface on top of that information.
Where do we start with ai knowledge base?
Who manages the knowledge, and when does a document expire? We discuss this together, define the scope and establish what is needed for an informed proposal.
What does the project cost?
The investment depends on scope, existing systems, data quality and required integrations. Your proposal separates the work, assumptions and any recurring usage or operating costs. A useful estimate requires an understanding of your situation.
How long does delivery take?
We agree a schedule once the scope and dependencies are known. System access, team availability and acceptance testing are included in the plan. Where possible, we start with a focused first step.
Can we keep our existing systems?
Your knowledge base, website, CRM, document environment and existing support channels, subject to available access. We investigate the possibilities and limitations before proposing a technical approach.
What happens after delivery?
You receive a handover explaining the solution and its documentation. Maintenance, support and further development are agreed separately, including responsibilities and how errors will be handled.