// Knowledge management for operating companies

Your company knows more than it can find.

Important answers live in someone's head, an old Slack thread, or a folder no one updates. We organize what your team already knows into one source of truth — so new hires ramp faster, AI tools give real answers, and critical know-how doesn't leave when people do.

No pitch. We map where your knowledge is leaking and what it's costing you.

// 15 yrs · knowledge work across

  • CDC
  • WHO
  • Gates Foundation
  • JP Morgan
  • Moody's
  • UMGC
// The problem

If any of these sound familiar, we should talk.

01

New hires take months to be useful

There's no central place to learn how your company actually works, so onboarding drags and tenured staff get pulled into constant Slack triage.

02

When someone leaves, knowledge leaves with them

Process lives in heads and inboxes. One resignation can cost weeks of rebuilding what someone already figured out.

03

Your AI tools give answers you can't trust

Copilot, ChatGPT, and search are only as good as the documents you feed them. Messy inputs produce confident-sounding nonsense.

// What we do

Three ways we make knowledge work.

Pick the entry point that fits where you are. Most engagements start with an audit and grow from there.

S/01

Knowledge Audit & Roadmap

A clear picture of where information lives, what's missing, and a 90-day plan to fix it.

  • Interview key people and map current systems
  • Find single-points-of-failure and risk areas
  • Prioritized roadmap with owners and timelines
S/02

Build Your Source of Truth

We design and stand up the structure, rules, and documentation that make knowledge findable and reliable.

  • Information architecture and naming conventions
  • Documentation templates your team will actually use
  • Governance: who owns what, who updates what
S/03

AI-Ready Knowledge

Clean, organized, permissioned content so AI tools (Copilot, ChatGPT, internal bots) give answers you can trust.

  • Content cleanup and tagging for retrieval
  • Guardrails on what AI can and can't see
  • Pilot use cases with measurable outcomes
// Why this matters

The cost of disorganized knowledge isn't theoretical.

$47K
per employee, per year

lost to time spent searching for information and recreating work that already exists. (IDC)

1.8 hrs
every workday

the average knowledge worker spends hunting for information instead of using it. (McKinsey)

42%
of process knowledge

is unique to the person doing the job — and walks out the door when they leave. (Panopto)

// How we work

A five-step engagement, not a black box.

01
Diagnose

Free 30-min call to understand your situation and decide if there's a fit.

02
Audit

2–4 week deep look at your systems, people, and information flow.

03
Design

We co-design the structure, rules, and tooling for your source of truth.

04
Implement

We build it with your team — using Agile sprints, not 80-page reports.

05
Sustain

Governance and training so it stays alive after we're gone.

// Our framework

The ACE Framework.

Three pillars we apply on every engagement. You don't need to memorize them — they just keep the work honest.

A

Architect

Design the structure: how knowledge is organized, named, tagged, and connected so people and AI can actually find it.

C

Curate

Decide what's authoritative, what's archived, and who owns it. Quality rules that keep your source of truth trustworthy.

E

Enable

Train teams, install governance, and integrate the system into daily work so it doesn't decay the moment we leave.

// Start here

Get a free Knowledge Diagnostic.

A 30-minute call where we map where your knowledge is leaking, what it's costing you in time and money, and the two or three highest-leverage fixes. No pitch, no obligation. You leave with notes you can use even if we never work together.

Short intake form · Reply within 1 business day