We solve the knowledge problems that slow your growth, increase your risk, and block your AI adoption.

Executives often recognize the symptoms before they name the problem. Glymr helps you diagnose and address the specific knowledge issues that are costing you most.

The Root Condition

Almost all of it traces back to knowledge friction.

Too much of what makes your company work lives in people's heads, scattered systems, and undocumented workarounds. Nothing is labeled current or complete, so every answer needs a person to verify, translate, or fill in the gaps before it is usable.

That is knowledge friction. The six problems below are the specific ways it surfaces — and what it costs when it does.

Understand knowledge friction
8.8 hrs
per week spent searching for and gathering information
McKinsey Global Institute, The Social Economy
5.3 hrs
per week spent waiting for information from coworkers
Panopto, Workplace Knowledge and Productivity Report
62%
of workers say they spend too much time searching for information
Microsoft, 2023 Work Trend Index
50%
of knowledge workers have found another team already working on the same project
Atlassian, State of Teams 2024

Knowledge friction slows your growth

Work that should take minutes takes days.

These are the problems that show up in ordinary weeks rather than in a crisis: capacity quietly capped by a few people's availability, new hires taking months to become useful, and the same work done three different ways depending on who picks it up.

Expert Bottlenecks

When senior experts are overloaded by repeated questions and decision demands, it is a knowledge structure problem.

Impact

Growth gets capped by a handful of people's availability, and if one of them leaves, the organization loses knowledge it never captured.

Explore Expert Bottlenecks

Onboarding & Ramp Time

New hires take months to reach full productivity when critical process knowledge isn't documented anywhere.

Impact

Slow ramp time costs lost productivity and manager time, and every new hire relearns lessons the last one already learned.

Explore Onboarding & Ramp Time

Operational Inconsistency

When work is performed differently by different people or teams, it creates quality gaps, compliance risk, and operating drag.

Impact

Inconsistent execution creates quality variation and compliance exposure — and blocks standardization until the real process is mapped.

Explore Operational Inconsistency

After a few weeks on the job, a new hire asked how to get access to “the Mickey system.”

Read about expert bottlenecks

A client in the early stages of planning a knowledge management program brought a new employee onto the team. In meeting after meeting, the new hire heard Mickey referenced in the context of critical functions — the place answers came from, the thing work had to go through.

Eventually they asked a VP how to get access to the Mickey system. The VP laughed and explained that Mickey wasn't a system. Mickey was a person: an employee who had been there for decades and was the main expert on an entire business function.

Everyone who had been there a while had stopped hearing it. To someone new, an expert bottleneck was indistinguishable from a system.

Glymr client story (anonymized) — company and identifying details withheld

Knowledge friction increases your risk

The knowledge you depend on isn't written down anywhere.

These problems stay invisible until a person leaves or a deal closes. Then the cost arrives all at once — as broken handoffs, stalled initiatives, strained client relationships, and integration surprises nobody priced in.

Critical Knowledge Risk

When essential expertise is concentrated in a few people, every resignation, retirement, or transition creates operational risk.

Impact

After key people leave, systems break, initiatives are disrupted, client relationships are strained, and internal stress levels rise.

Explore Critical Knowledge Risk

M&A Knowledge Risk

Knowledge risk affects diligence, integration, continuity, and synergy capture before and after the close.

Impact

Undocumented knowledge doesn't surface in diligence — it surfaces after close, as retention problems, integration delays, and valuation surprises.

Explore M&A Knowledge Risk

Knowledge friction blocks your AI adoption

AI doesn't fix scattered knowledge. It reproduces it.

AI tools cannot reliably help a company if the underlying knowledge is scattered, outdated, inaccessible, or ungoverned. Given that material, AI doesn't correct it — it repeats it, faster and with more apparent confidence.

AI does not eliminate the need for knowledge management. It increases the cost of poor knowledge management.

Explore AI Readiness & Adoption

What AI and your employees actually need:

  • Well-governed business context
  • Structured operating context
  • Trusted knowledge
  • Clear process logic
  • Role-specific guidance

Employees are already working around the gap themselves — feeding AI context by hand, checking output, and cleaning up errors. That effort is measurable, and so is what's causing it.

See how it gets measured

Two ways to find out where you stand.

Knowledge Friction Assessment

For organizations dealing with productivity leakage, slow onboarding, repeated questions, expert bottlenecks, process inconsistency, or knowledge loss risk.

Request a Knowledge Friction Assessment

AI Effectiveness Assessment

For organizations where employees are already using AI enough to see how it is working in practice — and leadership wants to know how effectively that usage is turning into useful work, and what is getting in the way.

Request an AI Effectiveness Assessment

Not sure which one fits? Talk to Glymr and we'll help you figure it out.

Find out whether your company's knowledge is usable by the people and AI systems that need it.

A Knowledge Friction Assessment or AI Effectiveness Assessment gives you a clear, quantified picture of where your organization is losing time, money, and AI value — and what to do about it.