There is a cost that never shows up on any invoice but that every business pays: the time employees spend each day working around tools that do not quite work.
Exporting data from one system to paste it into another. Filling in the same field in three different places. Waiting for someone to send a spreadsheet by email before work can continue. Taking screenshots to save information that should be centralised somewhere.
None of these tasks appear in productivity reports. But they all cost real time, and that time has a direct financial cost.
There is no universal number, but research on workplace productivity consistently points to knowledge workers spending between 20% and 30% of their working day on tasks that add no direct value: searching for information, duplicating data, fixing process errors, or managing communications that should be automated.
In a company with ten full-time employees, that amounts to two or three people working full-time on tasks that generate no output.
The problem is not a lack of effort. It is that the tools are not built around the company's actual processes.
Before talking about solutions, it helps to identify the patterns. These are the most common signs that a company is losing time due to inadequate software:
Spreadsheets as a management system: when Excel becomes the company's main database, every update requires manual work and the risk of errors grows with every row added.
Processes that depend on specific people: if tasks come to a halt whenever someone is absent because only that person knows where the information lives or how the process works, there is a structural problem.
Duplicate data across multiple systems: a client registered in the CRM, in the invoicing tool, and in a separate sheet. Every update has to be made three times.
Internal communication used as a management system: using email or messaging apps to assign tasks, request approvals, or track orders is inefficient and hard to audit.
Reports built by hand: if someone has to spend two hours gathering and consolidating information from different sources just to see last week's data, the system is not doing its job.
Slow onboarding for new hires: when bringing someone up to speed takes weeks just to understand how everything works, part of the problem is usually that processes are not documented or systematised.
Lost time is the most visible cost, but not the only one. Working with inadequate tools creates other effects that directly impact business results:
Avoidable errors: a repetitive manual process generates mistakes. An invoice with the wrong amount, a misregistered order, or an outdated record at the wrong moment has real consequences.
Decisions made with incomplete information: if data is not centralised or updated in real time, decisions are made based on a partial view of reality.
Growth limited by the tool: many companies reach a point where they cannot scale faster because the current system cannot support it. The bottleneck is not the market or the team — it is the software.
Team burnout: working with frustrating tools has an impact on motivation that is rarely quantified but is very real.
The answer is not always to build something from scratch. Before making that decision, it is worth evaluating whether existing tools on the market can cover the need at a reasonable configuration and adaptation cost.
Custom software makes sense when:
The business process is specific enough that no standard tool fits well without compromising how the team works.
The volume of repetitive manual work economically justifies the investment in automation.
Data exists across different systems that need to be connected and available connectors are not sufficient.
The company needs real-time visibility into its operations and has no way to get it with current tools.
Projected growth requires scaling processes that currently depend on people.
The question to answer before any investment in development is: what does it cost not to do this? If the answer is concrete and significant, the conversation about investment has a solid foundation.
The first step is not choosing a technology. It is mapping the current process as it actually is — not as it should be: where each piece of data is created, who enters it, how many times it is duplicated, how long each step takes, and where errors occur.
With that map on the table, it becomes much easier to identify what can be automated, what can be centralised, and what requires specific development.
At Blimbur, we regularly work with companies at exactly this point: they know something is not working well but are not sure what the right technical solution looks like. The upfront analysis is part of the work.
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"Tengo un negocio de Paquetería, en el que vienen muchas personas diariamente, tanto para recoger como para dejar paquetes. Llevábamos años gestionando muchos de nuestros procesos de paquetería de forma manual, y gracias a Blimbur Technologies hemos dado un salto enorme. Nos desarrollaron una app móvil y una web totalmente adaptadas a nuestro flujo de trabajo, con las que ahora tenemos todo automatizado, trazable y mucho más rápido. Ahora, el cliente sabe si tenemos el paquete y al estar todo mucho más organizado, es mucho más rápido y ágil, lo que hace que los clientes vengan y se vayan con otra cara y sin esperas. El trato ha sido impecable y el resultado, todavía mejor. Un equipo serio, técnico y que se implica de verdad."
