Private Knowledge AI
Your organization’s documents, decisions and know-how — searchable and answerable, inside your boundary.
Scoped engagement with a documented delivery path
Overview
Turn an everyday problem into a clear workflow
Knowledge exists but is unfindable: drives, chats, PDFs and heads. New hires take months; veterans answer the same questions forever.
Teams this is designed for
Leaders of knowledge-heavy organizations: engineering, consulting, distribution, manufacturing.
What it includes
Ingestion of documents, wikis and exports with access boundaries
Grounded answers with citations to sources
Explicit "I don’t know" instead of confident invention
Deployment inside your infrastructure or dedicated environment
The intended outcome
Institutional memory becomes an asset that answers in seconds and survives departures.
Workflow
How would this work in practice?
An illustrative situation
This scenario explains a possible workflow; it is not a customer case study.
The starting point
A new colleague asks about an internal operating procedure.
The proposed workflow
The assistant retrieves only permitted sources and cites the relevant section.
An output to examine
The colleague can inspect the source; unanswered questions go to the owner.
Before (illustrative workflow)
- The answer exists in some PDF nobody can find
- Every question walks to one senior person
- Onboarding = shadowing for months
- Departures delete knowledge
After (illustrative workflow)
- Questions get grounded answers with source links
- Senior time is spent on judgment, not retrieval
- Onboarding reads the living knowledge base
- Knowledge stays when people change
The engagement path
Understand the workflow
Review the current process, representative data, constraints and the people responsible for decisions.
Run a bounded pilot
Test one agreed workflow with real examples, human review and success measures tied to your current baseline.
Review before expanding
Decide the next step from observed results. Any production rollout, training and ongoing support are specified in the agreed proposal.
Inputs & deliverables
What do we start with, and what do you receive?
Inputs we discuss
- Approved documents, ownership and versions
- Access groups and representative questions
- Security and deployment constraints
Document repositories, wiki exports, drives; access-control policy; success questions to prove it on.
Proposed deliverables
- A permission-aware knowledge pilot
- Inspectable citations and a coverage report
- Source maintenance and evaluation guidance
Discovery → pilot corpus with real questions → deployment (your boundary) → adoption program and measurement.
Scope and responsibilities
Source permissions and document ownership govern what can be retrieved or changed. Sensitive interpretation and final decisions remain with the authorized business owner.
Success measures
How will we evaluate the result?
- Answer grounding and citation correctness
- Access isolation and appropriate abstention
Your team agrees the baseline, target and measurement method before implementation. Results depend on data quality and the operating context.
Questions
Common questions
Does our data leave the company?
No. The pilot and production run inside your boundary or a dedicated environment you control; that is the point of "private".
Will it invent answers?
The design answers only from your sources with citations, and says explicitly when it cannot answer. That behavior is tested during the pilot.
What should we share to start?
A short description of the process, a few representative examples and the decision owner are enough for the first conversation. Do not send confidential files through the public request form.
Is this ready-to-buy software?
This is an implementation engagement with a documented delivery approach. Configuration, integration, price and timing depend on your data, systems and agreed scope.
Do we need to replace our current systems?
Not automatically. We first examine the existing tools and access methods. Keeping, connecting or replacing a component is an explicit scope decision.
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Related paths to explore
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Read more about the approach
The next step
Does this problem sound familiar?
No payment and no account needed. You submit a request; we review your context personally and reply with next steps.