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AI Knowledge Assistant

AI that answers questions from your own documents and data — safely.

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The Problem

01 / The Problem

Your organization's knowledge is buried in documents, policies, past reports, and email threads. Staff can't find answers; new hires take months to get up to speed; members or constituents wait. And you won't send sensitive documents to a public AI tool — so people either go without, or use shadow tools you can't see.

Without a sanctioned, safe option, staff either lose hours hunting for answers or quietly paste sensitive material into public AI tools — an undisclosed data-exposure risk hiding in plain sight.

Who Does This Resonate With

02 / Who This Resonates With

  • Chief Operating Officer
  • VP Technology
  • Director of Knowledge / Operations
  • Head of Member or Constituent Services

Scoped build on a defined content set, typically 4–6 weeks, with milestone-based delivery.

Mission-Driven Institutions · Associations & Foundations · Mid-Market · Legal Services · Healthcare · Financial Services

What We Do

03 / What We Do

  • Scope the Content Set

    We scope to the documents that answer your highest-value questions, and confirm who can ask what before any build.

  • Build the Retrieval Layer

    Your documents are chunked and embedded into a vector store; questions trigger retrieval and reranking of the most relevant passages.

  • Grounded Answers with Citations

    An LLM generates grounded answers with guardrails and source citations — every answer is auditable, not a black box.

  • Private by Design

    The model runs in your control — a private deployment or your cloud's AI service — so your documents never train a public model.

  • Deploy & Hand Off

    A simple interface your team can use, validated for safety, then documented and handed off with no standing dependency.

AI & Technology

04 / AI & Technology

RAGpgvector / Pinecone / WeaviateBedrock / Azure OpenAI / Private LLMLangChain / LlamaIndex

What We Deliver

05 / What We Deliver

  • An assistant grounded in a defined document and content set

  • Retrieval, reranking, guardrails, and source citations

  • A simple interface your team can use, running in your control

  • Documentation, the configuration in your environment, and a handoff

Key Outcomes

06 / Key Outcomes

  • Instant, grounded answers drawn from your own content — with citations to the source

  • Faster staff and member or constituent service

  • New-hire onboarding measured in days, not months

  • Safe by design — your documents stay in your control and never train a public model

What This Leads To

07 / What This Leads To

A grounded assistant is the most visible, lowest-risk way to put AI in front of staff — it builds organizational confidence in AI without the data-exposure risk shadow tools carry. It works best on a clean Data Foundation (or fed by Data Integration & Pipelines), and naturally precedes AI Workflow Automation once staff trust the AI. Additional content sources are added as smaller expansions, with ongoing operation available as a Managed Data & AI retainer.

Next Step

Ready to work together?

Tell us where you are and what you're trying to solve — we'll show you where AI creates leverage inside your organization.

Get the summary

Get the AI Knowledge Assistant summary.

A one-page overview — the problem it solves, what you get, how we scope it, and a typical range. Sent to your inbox.

Ready to talk

Book a scoping call.

A focused 20 minutes to scope AI Knowledge Assistant to your situation and show you the band before any proposal.

Book a scoping call

Not sure which fits? Take the free 10-minute assessment — you'll get a personalized recommendation and your scoped band.