Complex assets often outlive the people who know them best. A vehicle platform, aircraft component, production line, ship system, or defense program may remain in service for decades, while technicians, engineers, planners, suppliers, and program leaders move on much earlier.
That makes knowledge continuity a practical asset lifecycle problem. If the knowledge needed to build, maintain, inspect, repair, and support an asset only lives in experienced people’s heads, the organization does not truly own that knowledge.
The risk is growing. PwC’s analysis of the aerospace, space, and defense workforce describes a generational transition where experienced professionals are retiring from long-lifecycle programs, taking unwritten knowledge with them. Some naval programs can span up to 80 years, aircraft development and certification can take 15 to 20 years, and defense electronics systems can remain relevant for more than 30 years.
A 2025 AIA and McKinsey workforce study also found that aerospace and defense attrition remains high, with particular pressure in skilled trades and production roles. The report argues that organizations need to improve productivity within the workforce they already have, not only compete harder for scarce talent.
NASA has treated this problem with the seriousness it deserves. Its knowledge continuity guide for supervisors argues that mission success depends on building on what the organization already knows, especially as experienced people retire or transition.
Asset-heavy organizations need the same mindset. Knowledge continuity should not be handled as an exit interview exercise. It should be built into how work is planned, executed, reviewed, and improved.
The sections that follow outline a practical approach to doing this. Each headline represents a core capability that helps organizations identify, capture, structure, and apply critical knowledge where it matters most: in day-to-day operations.
The first step is to identify where operational knowledge is concentrated. This does not mean documenting everything. It means finding the knowledge that would create risk if it disappeared.
Start with the areas where only a few people know how work actually gets done. That may include configuration quirks, recurring failures, local workarounds, inspection judgment, supplier dependencies, legacy system behavior, safety-critical approvals, or the true history behind an asset’s maintenance record.
This is especially important in defense and other regulated environments where skilled workers maintain and repair critical equipment. A 2025 GAO report on the U.S. defense workforce notes that the Department of Defense relies on its blue-collar workforce to maintain and repair weapons, aircraft, electronics, and other equipment, while also facing long-standing challenges in recruiting and retaining skilled workers.
For a broader view of the workforce and knowledge risk, see The Workforce and Knowledge Continuity Crisis in Asset-Heavy Industries.
A useful test is simple: if this person left tomorrow, which tasks would become slower, riskier, or harder to explain? Those are the first knowledge areas to protect.
Knowledge becomes useful when it is connected to the work. In asset-heavy organizations, that means tying it to assets, tasks, inspections, approvals, exceptions, and lifecycle phases.
A maintenance note sitting in a shared folder is easy to ignore. The same note becomes valuable when it appears next to the relevant asset, task history, fault type, configuration, or inspection step.
This is where many organizations struggle. In real operational environments, work often moves across ERP systems, spreadsheets, email, SharePoint folders, PDFs, local databases, and informal conversations. The result is that each team may have part of the truth, while no one has the full operational picture.
The UK Ministry of Defence’s Data Strategy for Defence describes a similar “data paradox”: defense organizations generate more data than ever, but still struggle to isolate insight from information when data is inaccessible in internal or contractual silos.
The same logic applies to knowledge. If expert insight cannot be found at the moment of work, it does not matter that it technically exists somewhere.
This is especially relevant for skilled trades, where modernization depends on practical expertise as much as advanced technology. See Why Skilled Trades Are the Bottleneck in Defence Modernization, for more.
Static documents have a role, but they rarely capture the judgment behind the work. A manual may describe the official procedure. It may not explain which symptoms experienced technicians look for first, why a certain task usually takes longer than planned, or when a recurring issue should be escalated.
NASA’s departee guide recommends practical transition activities such as shadowing, mentoring, talking through thought processes, reviewing key contacts, and preparing successors for the realities of the role.
That principle transfers well to asset-heavy operations. The best knowledge capture happens close to the work itself. Capture what experienced people do when they diagnose an issue, handle an exception, inspect a borderline case, prepare a handover, or recover from a delay.
This is also where tacit knowledge becomes visible. A Military Review article on “unknown knowns” describes how organizations often possess knowledge they cannot recognize, access, or use. The problem is not always a lack of knowledge. It is knowledge trapped in silos, assumptions, informal networks, or individual experience. For a deeper look at practical capture methods, see How to Capture Tacit Knowledge Before Experienced Workers Retire.
A knowledge base is only useful if people can find the right guidance under operational pressure. Searchability depends on structure, not storage. In asset-heavy organizations, knowledge should be searchable by the terms teams use in daily work: asset ID, configuration, task type, issue type, lifecycle phase, location, role, approval status, inspection result, component, tool, or historical action taken.
This prevents useful knowledge from becoming buried in old reports, meeting notes, personal files, or disconnected systems. The Military Review article describes this as a knowledge management failure rather than a knowledge acquisition failure. In other words, organizations already have relevant knowledge, but they lack the structures needed to bring it into decisions and execution.
The same risk appears in maintenance environments where asset history, failure patterns, and troubleshooting knowledge often disappear with experienced technicians. See Why Maintenance Knowledge Walks Out the Door.
Searchable knowledge also helps new workers become productive faster. It reduces dependence on informal networks and makes the organization less vulnerable when one experienced person is unavailable.
Knowledge continuity is strongest when guidance is built into the workflow itself. People should not have to leave the task, search a folder, ask around, and hope the answer is current. Good execution workflows bring knowledge into planning, assignment, execution, inspection, approval, and review, so teams have the right information at the moment they need it.
This is where many knowledge continuity efforts fail. They capture knowledge as content but never connect it to execution. The result is a growing library of documents that frontline teams do not use.
The AIA and McKinsey workforce study argues that aerospace and defense companies need to reimagine how work is designed and executed, not only add training or automation on top of existing friction. This is also why workforce capacity is central to execution, as discussed in The Hidden Workforce Crisis Behind Defence Digital Transformation.
Operational knowledge changes as assets age, configurations shift, suppliers change, and teams learn from new issues. A knowledge continuity program that is not reviewed will eventually become another outdated repository.
Leaders should define clear triggers for review. Repeated defects, rework, audit findings, incidents, inspection failures, supplier changes, role changes, program handovers, and asset modifications should all prompt a knowledge update.
The goal is not to preserve every historical detail forever. The goal is to keep the knowledge that improves safety, readiness, quality, compliance, and asset availability.
PwC recommends structured knowledge transfer, mentoring, knowledge-capture sessions, and dynamic digital knowledge platforms to preserve critical expertise across the aerospace and defense workforce.
NASA’s knowledge continuity guidance points in the same direction: knowledge transfer works best when it is planned, supported by leadership, and treated as part of mission success.
Asset-heavy organizations can start with a simple framework:
Identify the roles, assets, tasks, and decisions where expertise is concentrated.
Prioritize knowledge that affects safety, readiness, quality, compliance, availability, or customer obligations.
Map that knowledge to workflows, assets, lifecycle phases, inspections, and approvals.
Capture expert judgment during real work, handovers, reviews, and exceptions.
Structure knowledge with asset, task, role, location, lifecycle, and issue metadata.
Make knowledge searchable for the people who need it under time pressure.
Embed guidance into execution workflows, not only document libraries.
Review knowledge whenever assets, teams, suppliers, or operating conditions change.
Knowledge continuity becomes durable when it is treated as part of asset lifecycle management. The organizations that do this well do more than protect themselves from retirements. They turn experience into operational memory, and operational memory into better execution.