Many organizations have a spreadsheet that nobody officially owns, but everyone relies on. It might combine data from multiple systems before a weekly meeting, reconcile conflicting reports, or fill a gap that existing software cannot handle on its own. Similar workarounds appear throughout the business: Manual exports between applications, unofficial dashboards, spreadsheets, custom scripts, and processes that exist entirely outside the systems they were meant to support.
Most of these fixes begin with good intentions. Employees build them because they need to get work done, and the workaround is often faster than waiting for a larger technology change. All this extra work is a burden on your employees, but it leaves an open question: Why do they feel the need to do it in the first place?
Employees rarely create extra work for themselves without a reason. When someone starts maintaining a spreadsheet, building a dashboard, or manually moving data between systems, they are usually trying to overcome a limitation in the tools they have been given.
Sometimes the information needed to complete a task lives in multiple systems. Sometimes a workflow crosses application boundaries that were never properly connected. In other cases, reporting requirements have evolved faster than the software supporting them.
As organizations grow, new tools are often added to solve immediate problems. Over time, the connections between those systems become just as important as the systems themselves, and workarounds tend to appear where those connections break down . A great example of this phenomenon in practice is a proliferation of spreadsheets.
Most business spreadsheets start as temporary solutions. Someone needs a report that doesn't exist, a calculation that isn't available, or a way to combine information from multiple sources. A spreadsheet fills the gap. For example, a warehouse manager might create a spreadsheet to prioritize orders based on customer tier, inventory availability, and shipping deadlines.
Over time, new formulas are added, additional tabs appear, and more employees begin relying on it. Eventually, the spreadsheet contains business rules that exist nowhere else in the organization.
This is often a sign that critical business logic has escaped the systems that are supposed to support it. Revenue calculations, customer classifications, forecasting assumptions, and operational metrics may all be maintained inside files owned by individual teams. As definitions drift and changes become difficult to track, key processes come to depend on documents that were never designed to function as enterprise software.
When a spreadsheet becomes essential to running the business, it’s easy for critical processes to become unmanageable. But that’s only one sign that workarounds are taking over a business.
Few workarounds become normalized as quickly as manual data movement . Someone exports a file from one application, cleans up the data, and imports it into another. The process may take only a few minutes, but it happens every day, week, or month because a critical workflow depends on it. Every manual hand-off also creates another opportunity for a file to be missed, a value to be changed incorrectly, or outdated data to be carried into the next system.
These processes often emerge between systems that were adopted at different times or for different purposes. Customer information, operational data, and sales reports may all live in different locations, leading teams to build their own data management processes.
What makes these workarounds particularly revealing is that they expose failures in how systems exchange information. Employees become responsible for validating, transforming, and transferring data between applications that should already be working together. When people regularly act as the bridge between systems, critical connections become dependent on manual effort.
Many organizations eventually reach a point where multiple teams are reporting on the same business using different dashboards. Sales has one set of numbers, finance has another, and operations maintains its own reports. Meetings become less about what the data says and more about whose data should be trusted.
In response, employees often build their own reporting environments. They pull data directly from source systems, create custom calculations, and publish dashboards that better reflect the metrics they need to manage their work.
While these tools can be useful, they often reveal a deeper problem: The organization lacks a shared understanding of its own data. Metrics may be defined differently across systems, calculations may be duplicated in multiple places, and teams may rely on different sources to answer the same question. When departments need separate dashboards to understand the business, the reporting architecture often reflects underlying fragmentation rather than solving it.
Not all workarounds are visible. Some operate quietly in the background through scripts, macros, low-code automations, or custom integrations built by employees who are trying to eliminate repetitive work.
In many cases, these solutions are genuinely valuable. A small script that updates records across systems, or an automation that eliminates hours of manual effort, can improve productivity immediately. The challenge is that these tools often become critical components of business processes without ever being treated as such, becoming a sort of “Frankenstein system,” assembled from disparate parts.
Over time, knowledge about how they work becomes concentrated in a small number of people. If an employee leaves, changes roles, or simply stops maintaining the automation, important workflows can break unexpectedly.
This pattern often reveals a mismatch between how the business operates and what its systems officially support. Employees are creating their own infrastructure to fill workflow gaps that the underlying architecture never addressed. When critical processes depend on tools maintained outside formal systems and governance, operational risk grows alongside efficiency.
When workarounds begin appearing across an organization, the instinct is often to look for a new piece of software. Sometimes that is the right answer. More often, however, the first step is understanding why employees felt the need to create the workaround in the first place. Each workaround tells a story about how information actually moves through the organization.
These stories only become clear when workflows, systems, and data flows are mapped together. That is why architecture reviews often begin with something as simple as a whiteboard. By tracing how information flows between teams and systems, organizations can identify where manual effort has replaced automation, where business rules have become fragmented, and where the architecture no longer aligns with operational reality.
If workarounds have become a normal part of daily operations, CSG can help. Through collaborative system architecture workshops, we work with organizations to map applications, integrations, data flows, and operational processes to identify where complexity has accumulated over time. The result is a clearer understanding of how your technology environment functions today, where the underlying friction points exist, and what steps can be taken to create a more connected and maintainable system.