We help your B2B team organise the knowledge you already have, make it findable, assign clear owners, and keep it updated — using the tools your team already uses. This is practical ops work, not enterprise KM consulting, intranet implementation, or AI search platform deployment.
Common pain points
Your team has documentation, but it lives in random places — some in Notion, some in Drive, some in Slack threads.
The same questions get asked in Slack every quarter because nobody finds the answer that already exists.
When someone leaves or changes role, their part of the knowledge disappears with them.
Nobody is clearly responsible for any specific area of knowledge — everyone assumes someone else is updating it.
The internal docs that exist are stale within months, but nobody knows which ones to trust today.
Leadership wants AI search to "solve the knowledge problem", but the underlying knowledge is unstructured and inconsistent.
Internal knowledge operations is a discipline, not a platform purchase. It gives your team a clear structure for what you know, where it lives, who owns it, how people find it, and how it stays current. We write the structure and rules with the people who use the knowledge daily, set up ownership and review cadence your team can maintain, and leave you with a runbook the team can run without us. Knowledge handover is part of this operating model, but this page focuses on the knowledge layer itself: what exists, where it lives, who owns it, and how it stays current. We are not enterprise knowledge management consultants. We do not deploy KM platforms, build intranets, or implement AI search products.
What we deliver
Area 1
We map what knowledge your team has, what's missing, and where it lives today (Notion, Confluence, Google Docs, Slack threads, individual heads). We design a simple structure your team can read on one page — top-level areas, owners, where each lives, when it was last reviewed. Output: a knowledge map written for the team that will use it, not for a future audit.
Area 2
Every knowledge area has a clear owner who can edit, update, and deprecate content. No central KM team required. Ownership is distributed across the people who use the knowledge daily, with explicit handoff rules when someone leaves or changes role. Output: an ownership sheet with named people, not job titles.
Area 3
We write explicit routing rules so people know where to look first: what to search in docs, what to ask in Slack, what needs a human conversation. Routine answers route to the docs; non-routine route to the named owner; novel questions route to the small group that decides whether they become a new doc. Output: a one-page routing matrix your team can apply that day.
Area 4
We define how your team should use the search and AI features that already exist in tools like Notion, Slack, Google Workspace or Confluence. No new platform purchase, no enterprise search deployment. We define what information those features should and should not use, what guardrails apply per data class, and when humans take over. Output: a per-tool search setup document your team can edit when the AI features change.
Area 5
We set up a 30-minute monthly review where named owners walk through what they updated, what they archived, and what's still stale. Stale docs get a tag and a deadline; abandoned docs get archived. The cadence is the discipline — nothing fancy, but it keeps knowledge from rotting silently. Output: a monthly review agenda and a runbook owners can run without us.
Area 6
When someone leaves or changes role, the knowledge they own does not leave with them. We design a lightweight handover protocol — what gets written down, who picks up ownership, what gets archived if nobody picks it up. This stays at the knowledge layer; deeper handover for AI workflow operations is a separate workstream if you need it. Output: a handover checklist your team uses on every role change.
Your team finds what they already know without digging through Slack threads from three months ago.
Engineers stop asking the same question every quarter — the answer is findable, current, and owned.
Knowledge survives when someone leaves or changes role, because the handover protocol makes it explicit.
Each area of knowledge has a named owner who can update it, instead of "I think someone knows".
Stale documentation surfaces in monthly review with a deadline, instead of rotting silently.
You run knowledge ops with the team you have — no KM team to hire, no enterprise platform to buy.
No. Enterprise KM consulting designs information architecture for 10,000+ employee organisations, deploys CMS platforms, and runs records management programs. This work is operational ops for 10–500 person teams: structure, owners, find-it routing, maintenance cadence. We help your team operate knowledge without an enterprise apparatus.
No. We don't deploy enterprise AI search products like Glean or Mem. We set up AI-assisted search using the AI features your existing tools already have (Notion AI search, Slack AI, Google Workspace AI). If your team genuinely needs an enterprise AI search platform, you need a platform vendor and an implementation partner; we'll say so and point you in the right direction.
No. We don't build intranets, deploy Confluence Enterprise, or implement SharePoint. We work with the tools your team already uses (Notion, Confluence, Google Docs, Slack) and design the operating discipline around them.
No, not alone. AI-assisted search inside your existing tools helps people find what's already documented and consistent. If the underlying knowledge is unstructured, stale, or contradictory — which it usually is in 10–500 person teams — AI search returns inconsistent or wrong answers and people stop trusting it. The operating work (structure + owners + maintenance) has to come first. Then AI search is genuinely useful.
No. For many 10–500 person teams, a structured Notion or Confluence workspace with named owners and a monthly review cadence is enough to make knowledge usable without buying another platform.
Enterprise knowledge management consulting, intranet implementation, AI search platform deployment, records management compliance, cybersecurity of knowledge systems, information architecture for 10,000+ employee orgs, or CMS migration. We do one thing: practical internal knowledge operations for B2B teams of 10–500 people.
We design the structure of your internal knowledge base — what areas exist, what lives where, who owns each area, what gets archived, and how it stays usable…
Read moreRouting logic, not a search platformWe design the routing logic your team uses to find what it already knows: where to look first, when to use AI-assisted search inside existing tools, and when…
Read moreBook a call to scope your internal knowledge ops work. We'll talk through what knowledge your team has today, where it lives, who owns it, and what would need to change to make it findable and current. If what you actually need is an enterprise KM consultancy or an AI search platform, we'll tell you and point you to the right specialist.
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