How interoperability reduces manual work in businesses

Why is so much work still done manually?

In many companies, manual work isn’t due to a lack of systems. On the contrary, there are numerous systems—often specialized—that support different areas of the business: sales, finance, and operations.

Still, on a day-to-day basis, it’s common to see teams performing tasks that shouldn’t be necessary. Entering the same data more than once, cross-checking information across platforms, manually updating process statuses, or relying on Excel spreadsheets to ensure everything adds up.

These tasks end up being accepted as a normal part of the job. However, they are not part of the process itself; they are a consequence of something more structural: the way information is distributed across the various systems.

When systems do not work in a coordinated manner, people end up taking on the role of ensuring that information flows, and this directly results in more manual work.

When systems fail to keep pace with the process

A process, regardless of the field, follows a logical sequence: it begins with an input, progresses through several stages, and ends with an output. Ideally, information flows continuously throughout this process.

But in practice, this doesn’t always happen, because in many companies, each system handles only a part of the process, and the problem arises when the flow of information between these parts isn’t guaranteed. This is when disruptions begin.

• A lead may be recorded in one system but doesn’t automatically move to the next;
• A process may progress, but its status isn’t reflected on other platforms;
• Different teams end up working with different versions of the same information.

When this happens, the process ceases to be continuous and becomes dependent on manual interventions to move forward. And although these are likely minor interventions when viewed in isolation, they end up accumulating over time.

Interoperability and the reduction of manual work

Interoperability solves a problem related to the flow of information between systems. Information no longer needs to be entered multiple times, as it is created in one place and used consistently across all others. Each system accesses the data it needs without duplicating it or altering its source.

This significantly reduces the number of manual tasks associated with transferring information and eliminates the need to copy data, manually verify its accuracy, or ensure that different systems are aligned.

A practical example: from lead generation to processing the application

In a company that operates in both real estate and credit brokerage, it is common to have two separate systems. One for managing properties and business contacts, and another for handling credit applications.

Without any connection between them, the workflow tends to be fragmented. A contact is recorded in the real estate software, and if it proceeds to credit, the information must be re-entered into the other software, so throughout the process, it is necessary to manually track the status in both.

This method creates several points of risk. Information may become incomplete, outdated, or inconsistent, and, above all, it requires constant intervention to ensure the process proceeds correctly.

When there is interoperability between both systems, the workflow changes in a simple yet significant way. The lead is recorded only once; the relevant information is automatically sent to the credit brokerage software, which then handles the process. The source system retains only the information necessary for monitoring, without accessing sensitive data.

In this model, duplication is eliminated, the number of manual interventions is reduced, and the necessary separation between systems is maintained—something particularly relevant in highly regulated sectors such as credit intermediation.

Less manual work, more consistency

Reducing manual work isn’t just a matter of efficiency; it has a direct impact on the consistency of a company’s operations.

Whenever manual intervention is involved, there is room for error—whether because a field was left blank, a value was entered differently, or an update wasn’t made simultaneously across all systems.

With information flowing in a structured manner, these potential errors decrease, data becomes more consistent, and processes more predictable. This has a significant cumulative effect that means, over time, the company comes to rely less on constant validations and more on processes that operate stably.

Why many automation efforts fail to

Solve the Problem Faced with an excess of manual work, many companies try to solve the problem through automation. At first glance, this makes sense, since repetitive tasks can be automated. But when the “foundation isn’t solid”—that is, when data is scattered and systems don’t communicate properly—automation tends to replicate the problem rather than eliminate it.

Automating data transfer between systems that aren’t aligned may speed up the process, but it doesn’t guarantee consistency. If the source information is unclear or duplicated, the error simply spreads more quickly. Therefore, before automating, you must ensure that the information has a defined source and that the systems can use it consistently.

What changes in practice

When the manual work involved in transferring information is reduced, the difference becomes evident in day-to-day operations:

• Teams no longer waste time on repetitive tasks;
• Processes move forward with fewer interruptions;
• The constant need to validate information and data decreases;
• Operations become more predictable.

Instead of relying on extra effort to keep everything running, the company gains a more stable foundation, where systems support the work rather than complicating it.

Eliminating manual work is a result, not the goal

The goal is not simply to reduce manual work; the central goal is to ensure that information no longer depends on constant intervention to flow between systems. When this happens, processes become simpler, data becomes more reliable, and operations become more consistent.

Interoperability does not solve all problems, but it does solve one of the most common ones: the need to compensate for structural flaws with manual labor.