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Cairn and Flint Studio
Knowledge Infrastructure

Your AI is only as good as the knowledge feeding it.

Your team's expertise lives in 200 Slack threads, 50 Google Docs, and three people's heads. We consolidate it, structure it, and make it something your AI tools can actually work with — and onboarding new hires easier at the same time.

The problem

Most firms have the knowledge. The problem is where it lives.

The client intake process is in a Google Doc someone wrote in 2021, a Slack thread from last March where an exception was debated, and the head of operations' memory. The onboarding guide for new associates exists, but half of it is wrong and the other half assumes you already know things that are only written down in the founder's head.

AI tools make this worse before they make it better. A well-prompted AI can summarize any document you give it. What it can't do is find the document that should have been written but never was.

The work

Consolidate. Structure. Deploy.

01

Consolidate.

We ingest everything — Slack exports, Google Drive, existing SOPs, training materials, recorded calls — and produce a current-state audit that names where the real knowledge lives and where it’s missing.

02

Structure.

We restructure the useful knowledge into a format that a modern AI tool can actually use. That means clean taxonomies, versioned documents, and — critically — deliberate decisions about what doesn't get written down.

03

Deploy.

In the higher tiers, we set up the AI tools themselves: a knowledge-base-backed chat interface for your team, an onboarding system for new hires, and the documentation discipline to keep it all from decaying over the next eighteen months.

Engagement tiers

Three engagement levels.

Tier 1 — Audit

A structured current-state audit and ninety-day roadmap.

$2,500 one-time

  • Twenty-page deliverable
  • Current-state inventory of knowledge assets
  • Gap analysis — where expertise is locked in individuals
  • Prioritized ninety-day remediation plan
  • One closing call to review findings

Tier 2 — Structured Knowledge Base

Audit plus the full consolidation and restructuring.

$7,500 one-time

  • Everything in Tier 1
  • Full consolidation and restructuring of knowledge assets
  • Clean taxonomy and versioning discipline
  • Deliverables: a restructured knowledge base in your tool of choice (Notion, Confluence, Google Drive)
  • Two weeks of light support post-delivery

Tier 3 — AI-Ready Deployment

Full deployment and ongoing maintenance.

$15,000 one-time

+ $1,000/monthmaintenance

  • Everything in Tier 2
  • AI tool selection and integration (Claude, ChatGPT Enterprise, or self-hosted)
  • Knowledge-base-backed chat interface for internal team use
  • New-hire onboarding flow
  • Monthly maintenance: documentation discipline, additions, decay prevention
Why this work now

AI tools have moved faster than documentation practices have. The firms using AI well in 2026 are the ones that fixed their knowledge base before trying to deploy anything. The firms struggling with AI are almost always struggling because the foundation — the knowledge itself, structured and accessible — was never built.

What the Tier 1 deliverable looks like

See a sample audit.

We've put together a sample Tier 1 audit — a fictional mid-size marketing agency, with a real current-state assessment, gap analysis, and remediation roadmap. It's the best way to see what the engagement actually produces.

Let's talk

If this sounds like your firm, it probably is.

Twenty minutes. We can usually tell if it's a fit in the first five.