The old advice
"Clean your data first."
Six months building a taxonomy. Migrating Confluence to SharePoint. Tagging 4,000 pages. Then maybe an AI on top.
The modern alternative to a wiki
Your wiki has 4,000 pages. Nobody opens it.
An AI knowledge base reads everything you already have — PDFs, contracts, tickets, transcripts — and answers in plain English with citations. You don't have to organise anything first.
The one-liner
An AI knowledge base reads everything you already have, builds a map of how it connects, and answers questions in plain English — with a citation to the source paragraph.
A wiki is a place to write. An AI knowledge base is a place to ask. The first needs constant maintenance. The second runs on whatever you already have.
Wiki vs AI knowledge base
The work moves from writing to asking.
The single largest cost of a wiki is the maintenance. The single largest unlock of an AI knowledge base is not having to do that maintenance.
Traditional wiki
Generic AI search
Certant AI knowledge base
How content is created
Humans write & tag pages.
Indexes whatever it's pointed at.
Reads everything, builds a knowledge graph.
Has to be organised first
Yes — taxonomy is the project.
Sort of — clean inputs help.
No. Point it at the mess.
Answers with
A page you have to read.
A best-guess paragraph, no source.
A plain-English answer + citations.
Stays current
Only if someone updates it.
Re-index manually.
Re-reads when documents change.
Trust signal
Last-edited date.
Vibes.
Click any sentence, see the source paragraph.
Lives
One web app.
One search box.
Wherever your team works — Slack, Teams, portal, API.
How it works
Three things. In order.
Read everything. Build the map. Answer with citations.
01 · Read
Connect to where your documents already live — SharePoint, Google Drive, Confluence, S3, a folder of PDFs. Certant reads them once. Re-reads when they change.
02 · Map
Builds a knowledge graph — every entity, every relationship, every reference. Not a black box: you can open it, inspect it, trust it.
03 · Answer
Anyone can ask a question in plain English. The answer comes back with citations to the source paragraphs — verifiable in one click.
The big unlock
You don't have to clean your data first.
The biggest myth in AI rollouts. Every consultant says you need a six-month "data readiness" project. You don't.
What actually works
Point it at the mess.
Certant reads what you have, where it is. The structure is the output, not the input. You can re-organise later, with the AI helping you see what's missing.
A wiki is a place to write. An AI knowledge base is a place to ask.
FAQ
The category, explained.
What is an AI knowledge base?
An AI knowledge base is a system that reads every document and data source you have, builds a map of how everything connects, and lets anyone ask a question and get a cited answer — without you organising the source material first.
How is an AI knowledge base different from a wiki?
A wiki requires people to write, structure, tag and maintain pages. An AI knowledge base reads what you already have — PDFs, contracts, tickets, transcripts — and creates answers on demand. The work moves from writing pages to asking questions.
Do I need to organise my documents first?
No. Certant reads what you have, where it is, and builds the structure for you. Tagging and metadata are nice; they are not a prerequisite. The structure is the output of the AI, not a prerequisite for it.
What makes Certant different from other AI knowledge bases?
Three things. Citations on every answer — click a sentence, see the source paragraph. An inspectable knowledge graph, not a black box. And sovereign deployment — the same product can run in our cloud or fully inside your perimeter.
Can it replace my Confluence or SharePoint?
It can sit on top of them and answer across them — most teams keep their source-of-truth tools and add Certant as the answer layer. Some replace the wiki entirely once they realise nobody was reading it anyway. See replace your wiki →
How long does it take to set up?
A connected document set is searchable in minutes. A full enterprise rollout with permissions, audit logging and security review typically takes one to four weeks.
Stop writing pages. Start answering questions.
Upload a folder of documents. Watch Certant read them. Ask anything.