Find the answer in 10 seconds, not 40 minutes.
A chat that knows documents, emails and CRM together, answers citing its source and respects the permissions of each source. First version live in 4-6 weeks.
Company memory is scattered everywhere.
Procedures in Confluence. Contracts on SharePoint. Manuals on Drive. Historical decisions in emails. Unwritten rules in three people's heads. When a new colleague asks "how do we do X?", the answer costs 20 minutes of searching for whoever knows. When nobody knows, it costs hours of duplicated or wrong work.
A system that reads once, answers a thousand times.
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1. Ingestion
We connect your sources (Confluence, SharePoint, Drive, Notion, local folders, selected emails). The system indexes them with attention to permissions.
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2. Semantic search
When you ask a question, the system finds the 3-5 most relevant documents. Not a keyword: the concept.
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3. Cited answer
An AI model synthesizes the answer citing the source. Every sentence links to the original document.
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4. Honest 'I don't know'
If the answer isn't in the sources, the system says so. It doesn't make things up.
We're honest about when it's worth it.
You have 200+ relevant documents spread across 2+ systems
10+ people search for the same things multiple times a week
Onboarding is slow because knowledge is tribal
You have a support team answering the same questions
Sources live in different systems (Microsoft 365, Slack, CRM, folders) and permissions must be respected
You have fewer than 50 documents and finding them is already fast
Critical knowledge is reserved to 2-3 people and you don't want to share it
You expect an AI that 'understands' content not yet written
After 4-6 weeks, what you have.
Environment installed on your cloud (Azure, AWS, GCP) or our dedicated tenant
Connectors configured for your sources (Confluence, SharePoint, Drive, Notion)
Chat interface accessible via browser and integrable on Slack / Teams
Access controls aligned with source permissions (no leaks)
Usage dashboard: what they search, what's not found (gaps to cover)
90-day warranty + 30-day post-go-live support
Frequently asked questions.
How much does an internal AI knowledge base cost?
It depends on how many sources we connect, how many documents sit inside them and where the system has to run. We start with a narrow scope, one department or one type of documentation, and widen it once it works. Numbers come in a call.
How is it different from ChatGPT or Copilot?
They are all AI systems: the difference is what they read and who they answer. Copilot reads Microsoft. This one also reads Slack, the CRM, folders and archives Copilot doesn't see, answers only on your documents, links the source and respects each source's permissions: if you can't open that file, the chat won't talk about it.
Could an employee end up reading confidential documents?
No, as long as the source permissions are in order. The system inherits permissions from Confluence, SharePoint or Drive: if you can't open that file, the chat won't talk about it. Where permissions are a mess, we find out during ingestion and tell you.
Who keeps it updated when documents change?
Nobody, by hand. The connectors re-read the connected sources, at a cadence we agree on during setup, so a procedure updated in Confluence flows in on its own. The human work left is a different one: watching the dashboard and writing answers for the questions the system can't find.
What do you need from me to get started?
Access to the sources, one person who can say which documents matter and which are junk, and a list of the real questions people ask today. That list is the test: if the system answers them, it works.
Let's talk for 30 minutes.
Tell us what you're looking to build. If it's something we do well, we'll send a proposal with scope and timeline in 5 business days. If not, we'll tell you who to call instead.