Digital Transformation in a Month: The Risk of Fast Promises

Today, artificial intelligence is speeding up software development enormously.

We can generate code faster, build prototypes in less time, automate testing, generate documentation, and even build complete applications in a fraction of the time we once needed.

But there's something we need to be very clear about:

Developing software faster doesn't necessarily mean doing digital transformation faster.

And this is something business owners should keep in mind when a consultant promises to transform an area of their company in record time.

Because building an application is one thing.

And digitally transforming a business process is something completely different.

When a Consultant Promises to Do It in a Month

Some time ago we had the opportunity to participate in a proposal for a company that needed to carry out the digital transformation of its commercial area.

They weren't simply looking for an application.

The project involved different processes:

Customer management.
Customer interaction.
Account executive assignment.
Discount authorization.
Quote preparation.
Commercial follow-up.
Support and service.
Post-sale processes.
Warranty management.
And other business-specific processes.

On top of that, it was a fairly vertical industry, with particular processes and certain regulations.

Based on our experience, we estimated that this type of project could take approximately four or five months.

But the client told us something that caught my attention.

Another consultant had told them they could do it in just one month.

Three weeks of development.

One week of testing.

And done.

So I said:

"Perfect. How are you making that happen?"

And I asked for something very simple:

The project scope document.

I wanted to understand what they were doing differently.

Because if they had really found a way to digitally transform several commercial processes in a month, we had a lot to learn.

When I Read the Scope, I Understood the Secret

When we reviewed the scope document, we found something very interesting.

The consultant was mainly considering system development.

That is:

Design.

Program.

Test.

Deliver.

And here's the problem.

That's software development.

It's not necessarily digital transformation.

Digital transformation usually requires much more than building an application.

What Does It Really Mean to Transform a Process Digitally?

Before developing a technology solution, you need to understand what currently happens inside the organization.

For example:

What does the commercial area actually do today?

Who receives a client's request?

Who records the information?

Who authorizes a discount?

What happens when the discount exceeds a certain percentage?

Who prepares the quote?

What happens when the client accepts?

How is the sale recorded?

What happens after the sale?

How are warranties handled?

What information does a manager need?

Where do the problems currently exist?

Which activities are manual?

Which activities are duplicated?

What information is recorded multiple times?

What controls exist?

What controls should exist?

And probably the most important:

How should the process work after the transformation?

That requires work.

And that work doesn't disappear just because we have AI.

Digital Transformation Starts Before Coding

In a serious project you normally have activities like:

Information gathering.
User interviews.
Analysis of current processes.
Problem identification.
Identification of improvement opportunities.
Design of future processes.
Requirements definition.
Validation with users.
Functional design.
Solution design.
Development.
Integrations.
Testing.
Functional validation.
Change management.
Training.
Preparation for go-live.
Post-launch support.

And depending on the project, there may be many additional activities.

That's why, when someone tells you:

"I'll deliver the digital transformation in a month."

I would ask a very simple question:

"What exactly are you including in that month?"

Because that's where the difference can be.

Development Can Be Just One Part of the Project

Even software development can run in parallel with many other activities.

While one team develops a feature, another team can be gathering information.

While a module is being programmed, users can be validating processes.

While integrations are being done, tests can be prepared.

While the system is being built, training and change management can move forward.

That's why I'm not necessarily saying a technology project can't be delivered quickly.

Of course it can.

Technology has advanced enormously.

AI has significantly reduced the time needed for many programming tasks.

But the mistake is thinking that:

fast development = fast digital transformation.

Not necessarily.

You Can Have the System Finished and the Project Still Incomplete

This is a point many companies overlook.

Imagine the consultant actually manages to develop the application in three weeks.

Great.

Does that mean the project is done?

Not yet, necessarily.

Now you have to ask yourself:

Did the users validate the solution?

Does the process actually work?

Were the business rules correctly implemented?

Do the users know how to use the system?

Was the information migrated correctly?

Do the integrations work?

Were tests done with real scenarios?

Were user acceptance tests done?

Were the problems found resolved?

Was the go-live prepared?

Is there a procedure to handle incidents?

Are the users ready to leave the previous process behind?

Did the area managers accept the new process?

Is the organization ready for change?

Because an application can be technically finished and yet the transformation may not have happened at all.

The Requirements Problem

And here there's another point I consider critical.

Before developing a solution, you need to correctly understand the requirements.

Not just the functional requirements.

Also the business rules, the exceptions, the actors involved, the constraints, and the goals the company wants to achieve.

The Project Management Institute has highlighted the importance of requirements management in project success.

In a PMI study, 47% of projects that failed to achieve their objectives were affected by poor requirements management.

That's very important.

Because if you reduce the time available to understand the business just so you can say:

"I'll deliver it in a month."

you may be saving time at the start, only to lose much more during execution.

Scope Isn't a Bureaucratic Document

Sometimes companies see the scope document as administrative.

As a document that exists just to sign the contract.

But no.

Scope is one of the foundations of the project.

It defines what will be done, what won't be done, what the objectives are, and how it will be determined whether the work was completed.

PMI explains that defining and documenting scope establishes a common baseline for the project work and helps control changes later.

And this has a very practical consequence.

When someone promises to finish a project in an extremely short time, don't compare just the number of months.

Compare the scope.

Two Consultants Can Both Say "a Month" and Mean Completely Different Things

Imagine this:

Consultant A

"We'll digitally transform your commercial process in a month."

But when you review the scope you find:

Software development.
Technical testing.
Delivery.

Consultant B

"The project will take four months."

But it includes:

Information gathering.
Analysis.
Process optimization.
Functional design.
Development.
Integrations.
Testing.
User validation.
Training.
Change management.
Go-live.
Post-launch support.

Which one is actually faster?

You can't answer by looking only at the calendar.

Because maybe the first consultant is delivering an application in a month.

While the second one is delivering an operational solution that is implemented and adopted by the business.

Those are different things.

The Problem Isn't Only Technical

And here we get to one of the most important points.

In many digital transformation projects, the biggest effort isn't necessarily in programming.

It's in managing.

Managing people.

Managing expectations.

Managing processes.

Managing requirements.

Managing change.

Managing decisions.

Managing validations.

Managing conflicts.

Managing priorities.

Managing users.

Managing risks.

And making sure that what the business really needs ends up correctly reflected in a technology solution.

That's why, when someone asks me:

"How much does it cost to develop this system?"

my first question is often:

"What problem are you trying to solve?"

Because if we only talk about software, we can end up building a technically correct application that doesn't properly solve the business problem.

And Then There's Resistance to Change

There's another component that's often forgotten:

people.

You can build the best system in the world.

But if users don't want to use it, the transformation will fail.

You can automate a process.

But if people keep using Excel because they don't trust the new system, you have a problem.

You can build a CRM.

But if salespeople keep recording information in their own files, you have a problem.

You can implement a new platform.

But if the area managers don't participate in the definition and validation, you have a problem.

Digital transformation isn't only about changing technology.

It's also about changing the way people work.

And that requires management.

Can AI Accelerate All of This?

Yes.

Enormously.

AI can help us:

Analyze information.
Generate documentation.
Create prototypes.
Generate code.
Automate testing.
Analyze data.
Generate test cases.
Document processes.
Create assistants.
Reduce repetitive tasks.

But there's a fundamental difference.

AI can speed up many activities.

It doesn't mean it can remove the need to understand the business.

It doesn't mean it can automatically replace conversations with users.

It doesn't mean it can decide what the right process should be for a company.

And it doesn't mean it can remove the need to validate that the solution actually works.

Technology can accelerate execution.

But we still need people who understand what we should build and why.

Transformation Projects Don't Always Fail for Lack of Technology

In fact, McKinsey research shows how hard it is to achieve sustainable results in digital transformations.

In a global McKinsey survey, around 80% of participants said their organizations had started digital transformations in recent years, but only 14% said those transformations had produced and sustained performance improvements. Additionally, only 3% reported complete success in sustaining change.

This doesn't mean that 86% of all digital transformations "fail."

It's important not to interpret the data that way.

It means that, within that specific McKinsey study, few organizations reported sustained performance improvements.

And that leaves us with an important lesson:

Buying technology doesn't guarantee a successful transformation.

There's Also an Execution Problem

In 2025, PMI published research based on more than 5,800 professionals, stakeholders, and knowledge workers.

The study found that only about half of projects meet a modern definition of success, while 13% fail completely and 37% deliver only part of the expected results. PMI also identified a significant strategy-execution gap as one of the main obstacles to business reinvention.

And this connects perfectly with what we're talking about.

You can have a great strategy.

You can have budget.

You can have technology.

You can have AI.

You can have good developers.

But if you don't execute the transformation properly, the result may not be what you expected.

So What Should You Ask a Consultant?

If you own a business and a consultant promises an extremely fast digital transformation, I wouldn't automatically dismiss the proposal.

But I would ask questions.

For example:

1. What exactly does the project include?

Don't accept just a phrase like "digital transformation of the commercial area."

Ask for the detail.

2. How much time will they spend understanding our processes?

If the answer is "very little, because we already know this type of system," be careful.

Every company has its particularities.

3. Who will do the information gathering?

Ask who will talk to the users.

4. Who will analyze and optimize the current processes?

Don't assume that's included.

Ask.

5. Who will define the future processes?

Because automating a bad process doesn't necessarily make it a good process.

6. What kind of testing are they considering?

Technical testing isn't the same as functional testing done by real users.

7. What involvement will my team have?

Digital transformation requires business participation.

8. What happens if we find a process that needs to change?

Here you'll discover how serious their change management really is.

PMI states that scope changes must be identified, analyzed, communicated, and formally approved; uncontrolled changes can affect the cost, schedule, and expected benefits of a project.

Don't Compare Consultants Only by Speed

I believe this is the main message I want to leave.

If a consultant tells you:

"We'll do it in a month."

Don't immediately respond:

"The other consultant said four months, so you're better."

And don't do the opposite either:

"The other consultant is faster, so you're too slow."

First compare:

What are they actually doing?

Because maybe one consultant is selling development.

And another is selling transformation.

Maybe one delivers an application.

And the other helps you redesign the process, build the solution, implement it, train the users, and take it to production.

That has a different value.

Do You Really Need a Consultant?

And here I also want to be very direct.

If all you need is to develop an application and you already have everything fully defined:

The process.
The requirements.
The business rules.
The screens.
The integrations.
The testing.
The architecture.
The implementation strategy.

Then maybe you don't need a digital transformation consultant.

You can hire a good software development team.

You can even use platforms like Upwork, Fiverr, or similar services depending on the project.

But if you have a business problem you need to solve and you still have to understand how to optimize the process, how to digitize it, how to involve users, and how to implement the solution within the organization, then you're talking about something different.

You're talking about technology consulting and digital transformation.

And That Difference Matters

Because those of us who have spent years working in systems consulting, technology consulting, and process optimization know something:

the biggest effort in a project isn't necessarily in programming.

The biggest effort is often in management.

In understanding.

In asking.

In analyzing.

In questioning.

In designing.

In negotiating.

In validating.

In correcting.

In getting business and technology to speak the same language.

And finally, in making sure that what the company really needs ends up as a technology solution that works.

AI is changing the speed at which we can develop software enormously.

And that's fantastic.

I use it myself.

But we must not confuse programming speed with business transformation speed.

They are two different things.

So if you own a business and a consultant tells you:

"In a month we'll do the whole digital transformation."

My recommendation is very simple:

Don't just ask how long it will take.

Ask:

"What transformation exactly are they including in that time?"

Because maybe they're selling you a system.

And what you really need is a solution.

Don't buy systems. Buy solutions.

Sources:

Is Your Consultant Promising Digital Transformation in a Month? Beware of Projects That Are Too Fast