Digital transformation: taking a process to software

Table of Contents

• First things first: what is a process?
• There are as many processes as ideas (and that is the problem)
• The 4 stages for taking a process into a software

  • 1. Understand: look at how it works today, not how you think it works
  • 2. Define: put it in writing, with clear rules
  • 3. Improve: don't automate the mess
  • 4. Automate to scale
• A concrete example: orders over WhatsApp
• Why does all of this end in the cash flow?
• Quick checklist before buying any software
• Conclusion: digital transformation starts before the software

First things first: what is a process?

A process is a sequence of steps that exists to solve a problem. Nothing more and nothing less.

• A customer wants to buy from you → you need a sales process.
• An invoice arrives → you need a payment process.
• A customer complains → you need a support process.
• You hire someone → you need an onboarding process.

Every business has processes, even when they are not written down. The difference is that in many businesses those processes live in someone's head: "that's something only Carolina knows how to do", "ask Don Jorge how the closing is done". And what lives in one person's head cannot be measured, cannot be improved and, much less, can be turned into a software.

That is why digital transformation starts in a very low-tech place: on a blank sheet of paper.

---

There are as many processes as ideas (and that is the problem)

To solve the same problem there are many ways. Two stores selling the same thing can handle orders in completely different ways, and both can work. There are as many possibilities as there are ideas and people who think them up.

That is an advantage, because it lets you design a process tailored to your business. But it is also a trap: as long as a process is only an idea ("we should follow up with the customers who didn't buy", "it would be nice to have a dashboard with the day's sales"), it doesn't exist. And if it doesn't exist, it isn't impacting anything.

An idea that never materializes saves nobody any time, closes no sale and doesn't move a single dollar of your cash flow.

Materializing a process —writing it down, drawing it, putting it to work, even if only manually— is what turns a good intention into something the business can use, measure and improve. And it is the requirement for anything that comes after.

---

The 4 stages for taking a process into a software

1. Understand: look at how it works today, not how you think it works

Before proposing any solution, you have to observe reality. And reality almost never matches what the business owner believes is happening.

In this stage you ask yourself questions like:

• What problem does this process solve? For whom?
• Where does it start and where does it end?
• Who takes part in each step?
• What information comes in and what information goes out?
• Where is time lost, where are mistakes made, where does something "stay waiting"?

The best way to understand a process is to talk to the person who runs it every day, not to whoever designed it three years ago. That's where the shortcuts, the patches and the undocumented exceptions that keep the operation standing show up.

Outcome of this stage: an honest map of the current process, with its pain points identified.

2. Define: put it in writing, with clear rules

Understanding is not enough; you have to define. Defining means turning what you observed into something explicit that anyone (or any system) can follow:

• The steps, in order.
• The person responsible for each step.
• The decision rules: "if the order exceeds value X, it requires approval", "if the customer doesn't reply within 48 hours, they get a follow-up message".
• The data needed and where it is stored.
• What it means for the process to have ended well.

Here is an uncomfortable truth: a software can only execute rules that someone defined. If your process depends on "judgment calls" and "case by case", the software won't know what to do. That's why this stage is usually the most revealing one: it forces you to make the decisions the business had been postponing.

Outcome of this stage: a documented process, with a simple diagram and rules that don't depend on anyone's memory.

3. Improve: don't automate the mess

This is the most expensive mistake in digital transformation: automating a bad process. If today you have a process with five unnecessary approvals, a software will only make those five unnecessary approvals happen faster.

Before touching technology, ask yourself:

• Which steps add no value and can be removed?
• Which steps can be merged?
• Is there information being typed in twice?
• Are there waits that can be shortened?
• What can we standardize (templates, forms, replies)?

Often, just by improving the process —without buying anything— the business already saves time and reduces errors. And that has enormous value: it lets you validate that the new design works before investing in software.

Outcome of this stage: a shorter, clearer process, tested in practice.

4. Automate to scale

Now it's time. With a process understood, defined and improved, automation stops being a gamble and becomes a multiplication.

Automating to scale means the process can handle ten times more volume without needing ten times more people. Some examples:

• A WhatsApp chatbot that takes orders and answers frequently asked questions at any hour.
• A CRM that assigns leads automatically and schedules the follow-ups.
• An integration that turns an approved order into an invoice without anyone having to re-type data.
• A dashboard that shows the day's sales in real time, without building reports by hand.
• An AI agent that classifies emails or requests and routes them to the right area.

The key is that the software doesn't invent the process: it executes it. And it does it the same on the first time as on the ten-thousandth.

Outcome of this stage: a process that runs on its own in the repetitive part, and a team that dedicates its time to what actually requires human judgment.

---

A concrete example: orders over WhatsApp

Imagine a store that receives orders over WhatsApp. Today it works like this: the customer writes, someone on the team replies when they can, asks for size, color and address, writes the order down in a notebook or in Excel, confirms the payment by checking the banking app and lets the warehouse know through another chat.

• Understand: by observing, you discover that 60% of the messages are the same five questions, that weekend orders get answered on Monday and that sometimes shipments go out without confirming the payment.
• Define: you write down the process: which data is always requested, in what order, when an order moves to "confirmed" and who ships it.
• Improve: you create a catalog with prices and sizes, a single template for taking orders, and you remove the double entry between notebook and Excel.
• Automate: a chatbot answers the frequently asked questions and collects the order data; the order arrives in a system; the payment is confirmed with a link; the warehouse receives the order automatically.

The result? Fewer lost orders, replies in minutes instead of days, and a team that can serve twice as many customers without working twice as much.

(The numbers in this example are illustrative: in your business they will be different, and that's why the understand stage is irreplaceable.)

---

Why does all of this end in the cash flow?

Because a process that works well accelerates money and a process that works badly slows it down. The connection is more direct than it seems:

• You sell faster: replying in minutes instead of hours means fewer customers leaving for the competition.
• You collect faster: invoicing and following up on payments automatically shortens the days it takes for money to reach your account.
• You spend less per operation: when repetitive work is done by a system, the cost of serving each customer goes down.
• You make fewer mistakes: every mistake (a wrongly shipped order, a duplicated invoice) costs money and reputation.
• You decide with data: a digital process leaves a trace; and what gets measured can be improved.

In the short term, digital transformation looks like order. In the long term, it shows up in the cash flow.

---

Quick checklist before buying any software

Before paying for the next subscription, check whether you can answer yes to these questions:

1. Do I know exactly what problem this process solves?
2. Do I have the current process mapped, step by step?
3. Is it written down with clear rules that don't depend on one person?
4. Have I already removed the steps that add no value?
5. Have I tested it manually and does it work?
6. Do I know what I will measure to know if the automation worked?

If any answer is "no", it's not time to automate yet. It's time to go back to the missing stage.

---

Conclusion: digital transformation starts before the software

Taking a process into a software is not a technology project; it is a clarity project. Understanding shows you reality, defining makes it explicit, improving simplifies it and automating multiplies it.

And it all starts with a simple decision: stop having the process as an idea and materialize it. Because as long as it doesn't exist, it isn't impacting your business. And what doesn't impact the business today won't show up tomorrow in your cash flow either.

Start with a single process —the one that hurts the most— and run it through these four stages. What you learn there will serve you for all the others.

---

Which process in your business do you think you should take into a software first? Leave it in the comments and let's analyze it together.