Enterprise Knowledge

Internal Knowledge Assistants for Enterprise Teams

An internal knowledge assistant is a private AI agent that indexes your company's documents and systems and answers employee questions with citations. It respects existing permissions, can run fully on-premise, and replaces hours of searching wikis, PDFs and shared drives with a single trusted answer.

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faster new-hire onboarding

70%

fewer repeat internal queries

data leaving your network

The problem today

Institutional knowledge locked in PDFs, shared drives and a few senior heads
New hires taking months to become productive
Repeated internal questions overwhelming HR, IT and legal teams
Public AI tools ruled out because sensitive data cannot leave the network

Outcome

Onboard new hires 2x faster and give every employee an always-on subject-matter expert — with your data staying inside your walls.

Employees waste hours hunting through wikis, PDFs and shared drives for answers. A private, on-prem-ready LLM agent indexes your SOPs, contracts and systems to give staff instant, citation-backed answers.

How it works

Step 1

Index

Securely ingest SharePoint, Confluence, Google Drive, ticketing systems, contracts and databases.

Step 2

Ground

Retrieval-augmented generation ties every answer to a source passage, with permissions enforced per user.

Step 3

Deploy

Available in Slack, Teams, intranet or a standalone app — on-premise, private cloud or air-gapped.

Step 4

Improve

Unanswered questions surface documentation gaps for your knowledge owners to fill.

What the agent does

Permission-aware retrieval

Users only ever see answers drawn from documents they are already entitled to read.

Citation-backed responses

Every answer links to the exact source paragraph so staff can verify before acting.

Private & offline LLM options

Self-hosted Llama, Mistral or Falcon deployments for full data sovereignty.

Role-tuned assistants

Separate personas for HR, IT, sales enablement, legal and field operations.

Frequently asked questions

Can the assistant run entirely on our own servers?

Yes. We deploy open-weight models such as Llama or Mistral on your infrastructure, including fully air-gapped environments with no external network calls.

How does it handle document permissions?

The assistant inherits your existing access controls at retrieval time, so answers are built only from content the asking user is authorised to see.

What file types can it index?

PDFs, Office documents, scanned images with OCR, wiki pages, tickets, emails and structured database records.

How do we stop it inventing answers?

Responses are constrained to retrieved source material with citations, and the assistant is instructed to say it does not know when no supporting passage exists.

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