Capture
The rules your business runs on are not written down anywhere.
Glymr captures the business rules, exceptions, and decision logic that live in employees' heads and in systems nobody fully documented — so the knowledge survives a system replacement, an expert bottleneck, or an AI deployment that depends on it.
Critical Knowledge Capture is Glymr's service for documenting the expertise, exceptions, decision logic, and operating context that employees and AI tools need to perform work reliably — the knowledge that exists only in people's heads and in the behavior of systems nobody wrote documentation for.
Why This Matters
Every organization runs on rules that were never written down. Why this customer is invoiced differently. Which exceptions are deliberate and which are accidents nobody dares touch. What the system does when the input is wrong, and why it was built to do that. Who decided, and on what basis.
That knowledge is usually held by a small number of long-tenured people, plus the systems they built or inherited. It works — right up until something has to depend on it. A system gets replaced and the replacement doesn't know the rules. A new hire asks why and nobody can answer. An AI tool is pointed at company data and produces confident output built on assumptions nobody validated.
Most organizations discover the gap at the worst possible moment: partway through a project that assumed the knowledge was already documented.
When This Applies
- A business-critical system is being replaced, modernized, or integrated
- A new system is being specified, and the requirements depend on how the work actually happens today
- A legacy system still runs live work and few people understand what it does
- An expert bottleneck or key-person dependency exists, with no departure date and no plan
- Operating knowledge needs preparing before AI tools can use it reliably
Two outcomes
What happens when the knowledge is captured — and when it isn't.
The difference is rarely the size of the system or the budget behind it. It is whether anyone documented how the work actually ran, from the people who actually did it, before the transition forced the question.
A technology company was about to lose the outside developer who had designed and built its core operating platform. Glymr spent seven weeks in structured interviews with him — documenting process flows, database architecture, system behavior, operating decisions, dependencies, and the reasoning behind why the platform had been built the way it was. The client's internal development team took over maintenance of the platform in full, with no issues.
A dairy processor with three plants spent three years analyzing process documents and building a new SAP system. End users were never included and no one validated the assumptions. At cutover, operations seized up — the plants reverted to pencil and paper and the business was offline for three days. The worker who hooked up the milk pump to a tanker truck had been given a new 128-step process for that single task.
What Glymr Does
- Interviews the people who hold the knowledge — the operators, specialists, and long-tenured staff who know why things work the way they do, not only the managers who oversee them
- Documents the business rules, exceptions, edge cases, and decision logic that govern how work actually gets done
- Traces what a system does in practice, including behaviors that were never specified and are now depended on
- Separates deliberate rules from accumulated accidents, so decisions about what to carry forward are made knowingly
- Validates the captured knowledge with the people who do the work, rather than accepting existing documentation at face value
- Structures the result so it can be handed to an implementation team, an incoming employee, or a knowledge program without translation
Deliverables
- Documented business rules, exceptions, and decision logic for the work or system in scope
- Validated current-state process, confirmed with the people who perform the work
- Identified dependencies, assumptions, and open questions that a project or system decision would otherwise inherit blind
- Knowledge structured for its next use — implementation input, onboarding material, or the first content in a knowledge program
What This Is Not
Glymr does not write your specification, select your vendor, or build your system. Glymr captures and validates the organizational knowledge a specification has to be built on, and hands it to whoever is doing that work.
That distinction matters in practice. Implementation partners are good at building what they are told to build. They are rarely positioned to discover that the requirements they were handed describe a process nobody has followed since 2019.
Who This Is For
- Organizations replacing, modernizing, or integrating a business-critical system
- Leaders who suspect their documented processes and their actual processes have drifted apart
- Companies dependent on a legacy system that still works but that few people understand
- Executives carrying a key-person dependency they have not been able to resolve
- Organizations preparing operating knowledge for AI tools that need reliable business context
Related Reading
Critical Knowledge Capture often follows Data Landscape Mapping — mapping finds the system nobody documented, and capture documents what is inside it. It pairs with Process Mapping when the exceptions that determine outcomes exist only in someone's head, and it is a core component of Knowledge Management Programs during initial content development.
When the knowledge is at risk of leaving with a specific person, the bounded engagements are Knowledge Exit Interviews and Executive Knowledge Transfer.
Capture what the work depends on, while the people who know it are still here.
A short call to scope a Critical Knowledge Capture — which systems or processes it would cover, whose knowledge it draws on, and what you would end up with.