General-purpose AIs make up answers
Ask ChatGPT about your product and, if it doesn't have the information, it will make it up. Confident and articulate. And quite possibly wrong.
The problem
When your knowledge is scattered, general-purpose AI doesn't help
These are the pain points that appear when you rely on a public AI without connecting it to your real documents.
Your knowledge is spread across too many places
Manuals in Drive, contracts in SharePoint, FAQs in Notion, specifications buried in old emails. Finding the right answer takes longer than writing it.
You can't send your contracts to a public AI
Some information must never leave your company: customers, contracts, intellectual property. Uploading it to a public AI isn't an option.
When the AI answers, you don't know if it's right
An AI answer without a source is an act of faith. If you don't know where it came from, you can't verify it or use it confidently for real decisions.
How it works
From question to answer, with a verifiable citation
Three steps. The AI searches your documents, writes its answer using only what it found and shows you exactly where the information came from.
01 · User question
Your team or your customers ask
"Which warranty applies to product X when it's sold through a distributor?"
Internal chat · customer · support · Teams · Slack
02 · Smart search
We search your documents
We search your documents for the most relevant pages — understanding the meaning, not just matching keywords.
product-X-manual.pdf · p. 12 distributor-contract.pdf · p. 4 after-sales-faq.docx
03 · Answer with citation
It answers and shows you the source
The AI writes the answer using only what it found and links to the exact page of the manual or contract.
Source: distributor-contract.pdf · p. 4
If the information isn't in your documents, the AI says so. It would rather admit it doesn't know than make something up.
Use cases
What your AI knowledge base can do
From internal support to customer service, every answer backed by your own documents as a verifiable source.
Works with any document
PDFs, Word, Excel, Notion, Confluence, Drive, SharePoint. If it's in your company, we can index it.
Search by meaning
Finds answers even when the user's wording differs from the document's.
Always cites the source
Every answer links to the exact document and the specific page. Instantly verifiable.
Private, in your infrastructure
Your documents never leave your company. Deployed on your own server, a private AWS environment or a European cloud, whichever suits you best.
Per-user permissions
Each user can only access the documents they're authorized to see. A full audit trail of who asked what.
Automatic updates
When a document changes, the knowledge base updates itself. The AI always answers with the latest version.
How we implement it
A phased process you'll see working within weeks
We start small with your key documents, validate the quality of the answers and scale up with confidence.
Phase 01
Document audit (week 1)
We review which sources you have and which ones should go into the knowledge base. We identify formats, languages and versioning.
Phase 02
Indexing (week 2)
We prepare each document so the AI can search it by meaning. Your information stays in your infrastructure, not in someone else's cloud.
Phase 03
Relevance tuning (weeks 3–4)
We calibrate which answers are good and which aren't — using real cases from your business.
Phase 04
Deployment + maintenance
We integrate it wherever you need it (website, internal chat, Teams, Slack) and keep it up to date as your documents change.
Real metrics
AI you can measure, audit and improve
These are the indicators we monitor in every implementation to ensure useful, verifiable answers.
95%+
of answers cite the exact original document
-80%
made-up answers compared with a general-purpose AI
Your data
never leaves your infrastructure
<2s
average time to answer with a citation
Under the hood
The building blocks of your source-backed answer system
Six orchestrated components that make sure every question ends in an answer backed by your documents.
Document processing
We turn your PDFs, Word files, spreadsheets and wikis into clean chunks the AI can understand.
Search by meaning
Each chunk is turned into a mathematical "fingerprint" (an embedding) that captures its meaning, not just the literal words.
Search store
A specialized repository that finds the most relevant chunks for each question in milliseconds.
Relevance filter
A second layer re-ranks the results and discards the ones that don't fit, so the AI only sees the best.
Conversational AI with sources
The AI model writes the answer using only the retrieved chunks and always links to the original document.
Security layer
Role-based permissions, audit logging and privacy filters: the AI only sees what each user is authorized to access.
FAQ
Common questions about AI on your documents
What is RAG (AI on your documents), in plain English?
It's a technique that lets an AI answer using your documents as its source. Before replying, it searches your files for the relevant information. So it doesn't make things up: it uses what you already have.
How much does it cost?
The cost depends on the volume of documents, the information sources and the access permissions. We plan the implementation with you and send you a fixed-price proposal.
Will my documents be accessible to OpenAI or other third parties?
No, unless you decide otherwise. By default, your data stays in your own infrastructure. If you use a cloud model, only the question and the answer are sent — not your full documents.
What about confidential data such as payroll or contracts?
We set up the knowledge base with role-based permissions and, where confidentiality is paramount, we use open-source AI models installed on your own servers that never touch the internet.
Does it work in other languages besides English?
Yes. It works well in English, Spanish, French and the main European languages. And it understands questions in one language even when the document is in another.
Try it with your own documents
Book a demo and we'll show you the system answering from your real manuals and contracts — with verifiable citations and nothing made up. No obligation.