Complex asset organizations rarely suffer from a lack of systems. In many cases, they have spent years building a digital landscape that looks mature from the outside. And yet, when you ask how the work actually gets done, the answer is often much less sophisticated.
The real status is in a spreadsheet. The latest decision is buried in an email thread. The document everyone needs is somewhere in SharePoint. The formal process says one thing, but the fitter knows what really needs to happen next. The system says the task is assigned, but the person responsible is waiting for a clarification that only exists in someone else’s inbox.
This is the reality of operational workflows in complex asset organizations. The tools exist, but the work happens between them.
That does not mean the existing systems are useless. Most of them are essential. ERP systems are valuable for managing resources, cost, procurement, inventory, and financial control. PLM systems are critical for product structures and engineering data. Maintenance systems can hold records, plans, and asset histories. Document systems support compliance and controlled information.
But many of these systems were built to administer the organization. They were not necessarily built to help people execute complex operational work in real conditions.
In complex asset environments, the operational workflow is not just an administrative process. It is where production quality, maintenance readiness, asset availability, compliance, knowledge continuity, and customer trust are either protected or lost.
The core problem is not that complex asset organizations lack tools. It is that the tools rarely match the way work actually moves across engineering, assembly, maintenance, support, and operations.
Operational workflows in asset management are the steps, decisions, handoffs, approvals, documentation, and data exchanges required to move asset-related work from planning to execution.
In a simple organization, a workflow may be easy to describe. One team receives a task, completes it, updates the system, and moves on.
In a complex asset organization, the workflow is rarely that clean. The same asset may involve engineering, production, assembly, quality, supply chain, maintenance, sustainment, compliance, field operations, OEM (Original Equipment Manufacturer) support, and customer teams. It may move between facilities, operators, contractors, and lifecycle phases. It may remain in service for decades, with different teams responsible for different parts of its history.
A maintenance task, for example, is not just a maintenance task. It may depend on asset configuration, previous repairs, parts availability, technician qualifications, current documentation, inspection evidence, customer priority, and operational urgency. An assembly workflow is not just a build sequence. It may depend on engineering changes, controlled instructions, component traceability, quality checks, deviations, and records that will matter years later in maintenance and sustainment.
The workflow is where all of this comes together. It is the practical layer between the asset, the data, the people, and the decision.
That is why operational workflows are so important. They determine whether asset data becomes useful action or simply remains stored information.
Complex asset workflows are difficult because they are technical, cross-functional and long-running.
Ordinary business processes are often designed around relatively predictable steps. A request is submitted, reviewed, approved, completed, and closed. Complex asset work does not behave that neatly.
A part may not be available. A configuration may not match the documentation. An inspection may reveal a deeper issue. A supplier may be delayed. A technical instruction may not reflect the reality of the shop floor. A maintenance action may require an engineering decision. A customer priority may change the sequence of work. A compliance requirement may demand evidence that was not captured properly when the task was performed.
This is why many enterprise systems feel difficult to use in daily operations. They often work best when the process is stable, the data is clean, and the user knows exactly what needs to be recorded. But frontline and operational teams are not only recording work. They are trying to move work forward under changing conditions.
The result is a gap between administrative control and operational execution.
A system may know that a work order exists. It may know which cost center owns it, which resource is allocated, which material should be consumed, and which status field should be updated. But that does not necessarily mean it helps the person doing the work understand what has changed, what is blocked, what evidence is needed, who owns the next step, or what to do when reality does not match the plan.
That is not a failure of ERP, PLM, or maintenance systems as categories. It is a mismatch between what many systems were designed to administer and what operational teams need to execute.
This mismatch becomes especially visible in defense and aerospace, where supply chains, maintenance capacity, security demands, and operational readiness are tightly connected. A 2025 study on defense industry supply chains found that procurement priorities have shifted from cost efficiency toward supply chain sustainability, and that cost-efficiency-driven procurement strategies can limit delivery performance, robustness, scalability, and resilience during crises.
The same study explains that short-term, narrowly defined contracts can reduce incentives to invest in supply capabilities beyond immediate requirements, while lean and just-in-time approaches can reduce buffers and increase delivery risks in sensitive sectors such as defense.
That is a supply chain finding, but it points to a wider operational truth. When organizations optimize primarily for cost, resource administration, and short-term control, they may look efficient in stable conditions. But when complexity rises, the hidden weakness appears in execution.
The workflow was not built to absorb the reality of the work.
In many asset-heavy organizations, there is an official workflow and a real workflow.
The official workflow lives in the enterprise system. The real workflow lives in the workaround.
This happens for understandable reasons. Teams are not trying to create risk. They are trying to get work done. When the system view is too rigid, someone exports the data to Excel. When the approval needs context, someone sends an email. When the document is hard to find, someone stores a copy in a shared folder. When the formal process is too slow, someone calls the person they know can solve the issue.
These workarounds are often practical in the moment. They are also dangerous over time.
A spreadsheet can help people track work, but it cannot reliably govern work. Email can move a decision forward, but it does not create a controlled process. SharePoint can store documents, but it does not guarantee that the right person uses the right version at the right time. A meeting can create alignment, but it does not automatically create traceability.
This is why Excel and email remain so persistent in complex operations. They are not there because the organization has no systems. They are there because the systems do not fully support the operational workflow.
It is also a natural place to link to “The Hidden Risks of Spreadsheet-Based Workflows”, because the risk is not only that spreadsheets contain errors. The deeper risk is that spreadsheets become unofficial systems of control.
The organization may believe it has one workflow, but in practice it has several competing versions of operational reality. The ERP says one thing. The spreadsheet adds another layer. The email thread contains the latest decision. The experienced planner knows the exception. The report arrives too late to change the outcome.
By the time leadership sees the issue, the workflow has already failed. Read more about the hidden risks of spreadheet-based workflows here.
One of the most important realities in complex asset organizations is that many tools were not made for the job people are trying to use them for.
They were made to administer cost, resources, records, compliance, procurement, and planning. Those functions matter. No serious asset organization can operate without financial control, resource discipline, controlled documentation, and auditability.
But administration is not the same as execution.
Execution is what happens when a fitter needs the right instruction at the right moment. It is what happens when a maintainer discovers that the asset does not match the expected configuration. It is what happens when a planner needs to understand whether a delay is caused by parts, people, documentation, approval, or access. It is what happens when an OEM support team needs to coordinate across internal teams and customer requirements. It is what happens when a field issue needs to travel back into engineering knowledge rather than disappear into an email trail.
Administrative systems often ask, “How should this work be recorded?”
Operational teams need systems that also ask, “How should this work actually move?”
That difference explains a great deal of the frustration around workflow management for OEMs, manufacturers, and defense organizations. People are not necessarily resisting digital systems because they dislike structure. Often, they are resisting systems that create administrative burden without making the work easier to perform.
A system that is accurate but difficult to use will be worked around. A system that is compliant but disconnected from frontline reality will be treated as a reporting requirement. A system that stores data but does not help with decisions will not become the place where operational truth lives.
This is where fragmented systems become fragmented workflows. Read more about this in our article "From Fragmented Systems to Unified Workflows"
Operational visibility is often discussed as if it were a reporting problem. If leaders had a better dashboard, the argument goes, they would have better visibility.
But in complex asset organizations, visibility does not begin in the dashboard. It begins in the workflow.
If work is coordinated through spreadsheets, email threads, local trackers, meetings, and personal follow-up, then any dashboard is only as good as the manual updates feeding it. It may show what was reported. It may not show what is really happening. This is why leaders can have more reports than ever and still lack confidence in the operational picture.
The problem is not only data availability. It is data trust. Can the organization trust that the status is current? Can it trust that exceptions are captured? Can it trust that ownership is clear? Can it trust that the latest decision is reflected in the workflow rather than hidden in a message? Can it trust that the person reading the report sees the same reality as the person doing the work?
Operational visibility is hard because work crosses boundaries. Engineering may understand one part of the issue, maintenance another, supply chain another, and the customer-facing team another. Each team may be accurate within its own domain while the full workflow remains unclear.
The key argument is that visibility cannot be added at the end. It has to be designed into the way work is assigned, executed, escalated, documented, and closed.
Maintenance is where workflow problems become impossible to hide.
That is because maintenance depends on everything that came before it. Design decisions, build quality, configuration changes, operating conditions, inspection records, spare parts planning, technical documentation, and previous maintenance actions all become relevant when an asset needs to be kept available and reliable.
If lifecycle data is incomplete, maintenance suffers. If documentation is fragmented, maintenance slows down. If parts information is disconnected from planning, teams wait. If approvals are unclear, work stalls. If asset history is unreliable, maintainers rely on experience instead of evidence.
This is why maintenance workflows for complex assets are not just maintenance processes. They are lifecycle execution processes.
A 2025 Small Wars Journal article on deferred maintenance argues that maintenance shortfalls are not merely logistical hurdles but strategic vulnerabilities. It describes how deferred maintenance can reduce readiness, increase long-term maintenance costs, limit operational capability, and leave critical assets unavailable when needed.
The article focuses on U.S. Sea Services, but the lesson applies more broadly. Maintenance delays do not remain small when they compound across fleets, facilities, skilled personnel, documentation, and support capacity. They become readiness problems.
In complex asset organizations, the same pattern appears at different levels. A missing update becomes a delay. A delay becomes a backlog. A backlog reduces availability. Reduced availability affects the customer, the mission, the production plan, or the support obligation.
Maintenance reveals whether the organization truly controls the asset lifecycle, or whether it is reconstructing the lifecycle after the fact.
Operational workflows are often held together by experienced people.
They know which supplier usually causes delays. They know which document is likely to be outdated. They know which asset has a history of issues. They know who to call when a task is blocked. They know how the formal process differs from the real process.
This experience is valuable. But when it is not captured in structured workflows, the organization becomes dependent on individual memory.
That is a major risk in aerospace and defense, where workforce pressure is already high. The 2025 AIA and McKinsey workforce study found that A&D attrition remained nearly 15 percent in 2024, even after organizational efforts to improve retention. The study also found that the industry needs 30 to 40 percent greater productivity from the existing workforce as demand grows and talent pipeline pressure increases.
The same study highlights persistent challenges in sourcing critical skills such as engineering, skilled manufacturing, and software engineering.
This matters for operational workflows because productivity is not only about asking people to work faster. It is about reducing the amount of hidden coordination work required to get anything done.
If a planner spends hours chasing updates, that is a workflow problem. If a maintainer has to search across systems for the right information, that is a workflow problem. If a new employee needs months to learn the unofficial process, that is a workflow problem. If a team can only perform because one experienced person knows the workaround, that is a workflow problem.
A workflow that only works because the right person knows whom to call is not a scalable workflow.
When organizations recognize workflow fragmentation, the instinct is often to look for another system.
Sometimes that is necessary. But another system does not automatically solve the problem. In some cases, it simply becomes another place where information has to be entered, reconciled, and maintained.
The better question is not whether the organization needs more software. The better question is whether the organization has a structured execution layer that connects the systems it already depends on.
ERP may manage resources and cost. PLM may manage engineering data. Maintenance systems may manage records and planned tasks. Document systems may manage files. Email may carry decisions. Excel may track what teams need to see quickly.
Each tool may have a purpose. The workflow breaks when the organization expects people to manually stitch those purposes together every day. This is where the distinction between the system of record and the system of execution becomes useful. The system of record stores what the organization needs to know. The system of execution helps people do what the organization needs done.
Complex asset organizations need both. A system of record without execution support becomes administrative overhead. A system of execution without connection to enterprise data becomes another silo.
The goal is not to replace every existing system. The goal is to reduce the friction between enterprise systems and frontline work. Read more about the limitations of email in our article "The Problem With Email-Driven Processes".
Better operational workflow management does not mean digitizing every manual step exactly as it exists today. That usually preserves the inefficiency in a digital format. The goal is to create workflows that reflect how complex asset work actually moves.
That means tasks need clear ownership. Handoffs need to be visible. Exceptions need a structured path. Documentation needs to be available in the context of the work. Approvals need to be traceable. Evidence needs to be captured as part of execution, not reconstructed later. Asset data needs to flow across lifecycle phases, not remain trapped in the system where it was first created.
Most importantly, the workflow needs to work for the people doing the work. If a system is technically correct but difficult to use, people will route around it. If it adds administrative burden without improving execution, it will become another reporting layer. If it ignores frontline reality, adoption will fail.
A mature operational workflow is not defined by how many systems the organization has. It is defined by how clearly work moves.
You can usually see the difference in daily operations. In a mature workflow, teams do not need to chase basic status updates because progress is visible where the work happens. Exceptions do not disappear into email because they are handled inside the workflow. Approvals do not require searching through message threads because decisions are captured in context. New employees do not need to learn a maze of informal workarounds before they can contribute. Leaders do not wait for delayed reports to understand where work is blocked.
Most importantly, the system helps people execute work instead of merely asking them to document it after the fact.
That is the real test. Does the workflow make the work clearer, easier to coordinate, and easier to trust? Or does it mainly create a record once the difficult part has already happened elsewhere?
Complex asset organizations often have digital records. What they need next is digital execution that reflects operational reality.
Most complex asset organizations already have the systems, data, documented processes, and reports they are supposed to need. The problem is that these elements often do not come together in the place where work is actually executed.
That is why the organization can look digitized from a reporting perspective while still relying on manual coordination to move tasks, decisions, evidence, and handoffs forward.
The real workflow lives in the gaps between systems. It lives where engineering becomes assembly, where assembly becomes inspection, where maintenance becomes readiness, where asset data becomes a decision, and where customer support becomes a long-term lifecycle obligation.
Those gaps are currently filled by spreadsheets, emails, SharePoint folders, local databases, meetings, reminders, and experienced people who know how to make the process work despite the tools around it.
That is not sustainable.
A spreadsheet can help track reality, but it cannot govern execution. Email can help people coordinate, but it cannot provide workflow control. ERP can administer resources, but it rarely reflects the full complexity of operational work. PLM can manage product data, but it does not automatically make that data usable in maintenance or field support.
The future of complex asset management is not just better administration. It is better execution across the asset lifecycle.
That means connecting the systems of record with the systems of work. It means designing workflows around the people who build, maintain, support, and operate complex assets. It means capturing knowledge before it leaves with experienced employees. It means reducing the manual coordination burden that makes organizations slower than they appear on paper.
Complex asset organizations are already digitized in fragments. The next step is to make the work itself structured, visible, secure, and executable.
That is the reality operational workflow management needs to address.