What it looks like when knowledge friction gets fixed.
Examples of the problems Glymr has helped mid-market organizations diagnose and solve.
Agency Knowledge Base Transformation
A large agency's institutional knowledge was spread across email threads, individual drives, and tribal memory. Glymr mapped the knowledge landscape, identified the highest-friction gaps, and designed and implemented a structured internal knowledge base with ownership, governance, and adoption support.
Result: Onboarding time cut by nearly half. Senior staff recovered hours per week previously spent answering repeated questions.
Data Landscape Mapping for Organizational Complexity
An organization had real misconceptions — up to and including the executive level — about which systems were actually in use. Glymr's Data Landscape Mapping covered more than 300 systems and uncovered more than a dozen still active that IT leadership believed had been retired.
Result: Leadership gained an accurate, shared picture of the technology environment for the first time, opening the door to consolidation and measurable cost savings.
Process Mapping for Operational Visibility
An executive team had never had a complete view of operations spanning five teams and fifteen platforms. Glymr mapped how the work actually happened across every handoff.
Result: The executive team gained visibility it never had before — and a foundation for system improvements and the organization's first formal knowledge-management program.
Knowledge Exit Interviews During a Reorganization
A staff reduction landed midway through a knowledge management build, with six outgoing executives on their way out and the system meant to hold what they knew still months from launch. Glymr ran structured Knowledge Exit Interviews ahead of their final dates.
Result: The knowledge most at risk was identified and documented before the departures took effect, with specific recommendations to avoid business disruption.
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.