Process diagnosis
Process diagnosis and redesign for companies
You don't need to know what to automate before talking to us. We enter your operation, understand how it works today, and detect where time, money or capacity is being lost. Before choosing a tool, it's worth understanding the process.
Tell us how your process works todayWhere to start
First the process, then the technology
Choosing a tool without understanding the process usually ends in a solution that doesn't fit the real operation. That's why we start by understanding how your company works today: what gets done, who does it, with which systems, and where time or money is lost.
From that diagnosis, we define what's worth solving first and what kind of solution makes the most sense: organizing the flow, automating, integrating systems, or adding artificial intelligence.
The journey
AS-IS → Diagnosis → TO-BE
How it works today
We map the real process: actors, tasks, systems, data and decisions.
Where it's lost
We detect where time, money or capacity is lost.
How it should work
We design the future process and the most convenient technical approach.
AS-IS
How we understand the current process
We map the process as it works today, without assuming it's already organized. This lets us see the real starting point before proposing changes.
TO-BE
How we design the future process
With the diagnosis in hand, we design how the process should work to solve the detected problems, without losing what already works well.
Methodology
An adaptable methodology, not a rigid process
These steps describe how we usually work, but each diagnosis adapts to the context. Not every diagnosis has exactly the same stages, nor always delivers the same document, nor always requires a long audit.
What the company receives
What the company receives at the end of the diagnosis
The diagnosis isn't a generic report. It's a concrete basis for deciding with good judgment what to do and in what order.
What it is not
The diagnosis is not about finding where to put AI
We don't start from the technology, but from the problem. The diagnosis can end in AI, automation, traditional software, integration, a process change, or a combination. And if you already know what you need, we can assess and build directly, without going through a diagnosis.
In practice
What it looks like in real cases
Some examples of how understanding the process became a concrete solution.
SEPECO
Manually auditing calls was slow and subjective. We understood the process and built a system that transcribes, analyzes and classifies calls automatically.
SDP Holding
Cash flow consolidation required manual loading from different sources. We understood the flow and built an automation that processes the reports and delivers them organized to the final Excel.
When it makes sense
When a process diagnosis makes sense
It makes sense when the process involves several systems, people or steps, and the problems can't be solved with just a new tool.
Frequently asked questions
Frequently asked questions about process diagnosis
What's the difference between a diagnosis and an implementation?
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The diagnosis is the previous stage: we understand the process, detect problems, and define what's worth doing. The implementation is the next stage, where the agreed solution is built. They can be done separately or as part of the same project.
Do I need to know which technology I want before starting?
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No. In fact, it's better not to commit to a tool before understanding the process. The diagnosis helps you decide with good judgment whether to organize the flow, automate, integrate systems, or add AI.
How much does my team participate in the diagnosis?
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The team that works on the process is the main source of information. We run interviews and survey how work is done today, because no one knows the process better than the people who operate it every day.
Is the diagnosis useful even if the process is already digitalized?
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Yes. Often the problem isn't the lack of systems, but that systems don't communicate, information is scattered, or the flow depends on manual steps. The diagnosis detects those points even when tools already exist.
Does the diagnosis always end in AI?
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No. The diagnosis can end in AI, automation, software, integration, a process change, or a combination. The technology is chosen based on the problem, not the other way around.
Tell us how the process works today or what problem you're seeing
We can help you understand where it makes sense to intervene.
Want to evaluate your case?
Request a free initial assessment and we'll get back to you to understand where to start.