Knowledge Management

Make it easy to find.

In large organizations, knowledge doesn’t disappear because people don’t care. It disappears because it’s scattered, undocumented, or trapped in someone’s head. I build practical KM systems that reduce “reinventing the wheel,” protect critical expertise, and make it easier for teams to find what they need and reuse it with confidence.

WHAT I DO

Deliverables that give KM a clear operating model, not a loose set of good intentions.
  • KM roadmap (multi-year plan to build maturity across functions)
  • KM governance model (roles, ownership, cadence, decision rights)
  • Corporate KM directive (how knowledge is created, validated, stored, and reused)
  • KM standards and templates (simple guidance so contributions are consistent)
  • Use-case intake and prioritization (what we build first, based on business pain points)
Deliverables that make knowledge-sharing part of “how work gets done,” not extra work.
  • Onboarding knowledge flow (what new people need, where it lives, how it’s maintained)
  • Project close-out and lessons learned (capture that doesn’t die in a slide deck)
  • Technical standards integration (making the “right way” findable and reusable)
  • User-centric KM workflows (processes designed to fit daily operations)
Deliverables that reduce expertise risk and keep know-how from walking out the door.
  • Critical knowledge map (what knowledge is strategic, who has it, is it documented)
  • Critical knowledge gap assessment (what isn’t working and how to fix it)
  • Expert interviews and working sessions (turning experience into usable assets)
  • Knowledge transfer and continuity plans (especially for succession/retirement risk)
  • Packaged know-how (guides, playbooks, learning assets, coaching supports)
Deliverables that make “answers” fast to find and easy to apply.
  • KM hub / digital platform structure (where knowledge lives and how people navigate it)
  • Playbooks and guides (repeatable steps teams can reuse)
  • Learning modules (packaged knowledge that supports capability building)
  • AI agents for user support (where appropriate, to reduce friction and speed answers)
Deliverables that keep knowledge moving across sites, roles, and functions.
  • Communities of Practice (launching and running CoPs that people actually use)
  • Peer exchanges (structured sharing formats across teams/locations)
  • “Ask the expert” sessions (easy access to expertise, without gatekeeping)
  • Community playbook (roles, norms, prompts, and facilitation structure)
Deliverables that help people understand the value of KM, contribute with less friction, and stick with it over time.
  • Capability-building sessions (for leaders and practitioners; practical and behavior-based)
  • Leader and contributor toolkits (simple guidance that turns standards into action)
  • KM storytelling and success stories (showing “this helped” in real terms)
  • Internal social amplification (highlighting peer-sharing moments to normalize reuse)
  • Platform analytics and improvement loop (monitor user experience, learn, iterate)

related use cases