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AI Engineers Labs
Enterprise Knowledge Assistant

Your company’s knowledge, answered with citations.

Turn SharePoint, PDFs, SOPs, contracts, policies, and internal documents into a secure AI assistant — with citations, role-based access, and source-grounded answers. Employees find the right answer in seconds, and every answer points back to where it came from.

Enterprise knowledge is scattered across document libraries, shared drives, policy portals, and people’s heads. Employees waste hours hunting for the current SOP, the right clause in a contract, or last year’s policy — and often act on the wrong version. The Enterprise Knowledge Assistant gives every team a single, secure place to ask a question in plain language and get an answer grounded in your real documents, with a citation they can open and verify.

The business problem

Knowledge that’s everywhere is knowledge that’s nowhere.

  • Answers buried in too many places

    SharePoint, file shares, wikis, email threads, and PDFs. The right answer exists — finding it costs hours and the wrong version costs more.

  • New hires take a quarter to get productive

    Onboarding is a scavenger hunt across systems and senior colleagues. The knowledge is real but undiscoverable.

  • Compliance risk from stale documents

    Teams act on outdated SOPs and superseded policies because nothing tells them what the current version is.

  • Subject-matter experts answer the same questions

    Senior staff spend their week re-explaining policies, processes, and contract terms that are already written down somewhere.

What the solution does

Secure, grounded, and built for the way your teams work.

Connects your sources
SharePoint, file shares, PDFs, SOPs, contracts, policies, and internal wikis — ingested, kept current, and searchable in one place.
Answers with citations
Every response links to the exact source passage. No unsupported claims — the assistant declines when it has no grounded answer.
Respects access control
Mapped to your existing identity groups. Users only see answers from documents they are already permitted to read, enforced at retrieval time.
Understands your documents
Tables, clauses, headings, and structure are preserved — so it can answer questions about a specific contract section or a step in an SOP.
Stays current
Re-indexes as documents change, so answers reflect the latest approved version rather than a stale snapshot.
Measured for accuracy
An evaluation harness scores answer quality against a curated question set, run continuously so accuracy is tracked, not assumed.
Example workflows

What teams actually use it for.

  • Internal knowledge search

    “What is our travel reimbursement limit for international trips?” — answered from the current policy, with the clause cited.

  • HR and policy assistant

    Employees self-serve answers on leave, benefits, and conduct policies without filing a ticket or emailing HR.

  • SOP assistant

    Frontline and operations staff get the exact procedure step, grounded in the approved SOP, at the moment they need it.

  • Contract and document Q&A

    “What are the termination terms in the Acme MSA?” — pulled from the document with the relevant section quoted.

  • Department knowledge base

    Each team gets an assistant scoped to its own documents, so answers stay relevant and access stays clean.

Engagement model

How it runs

Ideal buyersOperations · HR · Legal · Compliance · IT · large knowledge-heavy teams
ImplementationScope priority sources → secure connect → ground & evaluate → expand source by source
Time to first valueWeeks to a production pilot, not months
DeploymentYour tenant or single-tenant · region-pinned · no model training on your data
Proof
A regulated enterprise consolidated thousands of policy and procedure documents into one assistant with citation enforcement and group-based access. Staff stopped routing routine policy questions to subject-matter experts, and every answer could be traced to an approved source.

Regulated enterprise · Policy & SOP assistant · Citation-grounded

Frequently asked

What buyers actually ask

Where does the assistant get its answers?
Only from the documents and systems you connect — SharePoint, file shares, PDFs, policies, contracts, and internal wikis. Every answer carries a citation back to the exact source passage, so your team can verify before they act.
Can it respect who is allowed to see what?
Yes. Access is mapped to your existing identity groups (Entra ID, Okta, Google Workspace). The assistant only retrieves and answers from documents the asking user is already permitted to read — per-document, enforced at retrieval time.
Will our documents be used to train a model?
No. Your content is never used to train any model. Deployments run in your tenant or a single-tenant environment with region pinning, audit logging, and model attestations available at contract stage.
How accurate is it, and how do we trust it?
Answers are grounded in your sources and shown with citations; the assistant declines rather than guesses when it has no supporting passage. We ship an evaluation harness against a curated question set so accuracy is measured and tracked over time, not assumed.
How long does it take to launch?
A scoped first deployment against one or two content sources typically reaches production in a matter of weeks, then expands source by source. We start where the answer volume is highest.
Next step

See it working on your use case.

30 minutes. No slides. Bring a knowledge base, a QA backlog, or a decision your teams keep waiting on — and we'll show you how the solution would handle it, grounded in your context.