How to Choose a Nearshore Software Development Company?
Published on
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April 10, 2026
Last updated on
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April 10, 2026
Time to read
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12
Valentina Ibinete
Marketing Lead
There’s plenty of material telling you about the benefits of outsourcing software development services to nearshore companies. The upsides are similar time zone, cultural affinity, a high-quality talent pool, and cost reductions. Even though these things are true, that’s just a general idea of what nearshore outsourcing is all about.
You might be already interested in it, but given how many software development teams are out there, how do you know which one you should partner with?
Read on as we point out what factors are most important to consider when choosing your next nearshore software partner.
A bargain might compromise your business
If you’re considering nearshoring just to save as much money as possible, then you’re missing the point. In fact, just considering the cheapest option could lead to bad experiences.
Magne Jørgensen, researcher and professor at the University of Oslo, showed in a research paper that software providers with bids 25% lower than the average correlate to a 9% increase in the frequency of project failure for the same skill level, suggesting that an excessive emphasis on low prices makes it more likely that projects fail.
Software development is no simple task. It takes hard work, knowledge, skill, and most importantly time, to end up with a scalable, testable, and user-friendly software product ready to run.
Promises of exceptionally quick work at the lowest price should be viewed with healthy skepticism. You might know of folks in your community who have already gone through bad situations when their cheap outsourced software turned sour, like Boeing's offshore outsource fiasco.
Don’t get discouraged though!
Finding quality nearshore software development companies while not breaking the bank is still possible because of the exchange rate, salary differences, and great talent pool. You just need to take your time and correctly assess your potential partners before making a decision, which leads me to my next point.
Agile methodology is key to success
Avoid injecting money into a black box, only to open it months or years later and find something completely different than what you were expecting. Partnering with software companies with a strong agile approach is a great way to prevent this.
The Forbes Technology Council agrees that an agile software development process translates into quality project management: faster feedback cycles, effective problem identification, disrupting changes prevention, flexible prioritization, maintaining high customer satisfaction, identifying benefits sooner, free commitment and continuous improvement.
Software development does better in an ongoing back-and-forth process, where you describe your desired result to your IT partner, evaluate the intermediate results, both parties provide feedback and exchange opinions, and iterate the process until convergence is finally achieved.
And how do I identify a software company with a strong agile culture you ask? You should evaluate how they behave. Shy away from those trying to sell you pre-established solutions, and stick to those who are honestly trying to understand what your needs are and how your business model works.
A good agile team will not only come to the Scrum Ceremonies with regular updates, but they will dive deep into your ideas and actively look to suggest recommendations and improvements to your product.
Every project is unique, and will require the most focused, responsible, and committed development team to bring your ideas down to earth and successfully deliver. Checking references is a good starting point.
The importance of user experience (UX)
Nowadays our brains are being bombarded with information and stimulus coming from everywhere, specifically from our computers and cell phones, constantly distracting us with our social media feed, news updates, work info, and more.
Therefore, customers aren’t only needing, but are demanding, simple and easy-to-use UX/UI that lets them quickly understand and make use of your services, giving a necessary rest to their busy heads meanwhile.
To get an idea of how important this is, take for instance a research study by Baymard where they tracked the global average e-commerce cart abandonment rate for 9 years, concluding it was around 69%. The main reasons were UX/UI flaws at the design and check-out flow that frustrated or made it hard for users to buy.
If this wasn’t enough to make a point, suffice to say that after a no-ROI period, Walmart decided to redesign its website in 2018, paying special attention to UX/UI. The results: Walmart’s e-commerce sales grew by 43%.
The important question here is whether your software consultant can turn all those lines of code into something accessible and easy for your customers to use and love.
When searching for your next nearshore software development agency, take a look at their case studies. See if their previous projects not only do what they say but also look professional, simple, and smooth.
Don’t forget that even if you have the most solid software engine running, it's worthless if users find it counterintuitive.
Go for flexibility
Today's world moves fast. To survive, you must have the ability to quickly adapt to new situations.
What worked for you in the past might not be useful now. Committing to long-term relationships with a partner through hard-binding legal contracts might not be your best bet.
Outstanding nearshore digital transformation agencies know and embrace this. Moreover, they will offer flexible working frameworks where you can easily ramp up and down without any bureaucracy.
They will freely let you decide if you want to stay or leave because they’re committed to consistently providing you with the best service. That way you’ll want to keep choosing them as your software development partner because you continue to see ROI in the relationship. That’s the kind of value-based relationship you’re looking for!
Look for stable countries
So far we’ve talked about software companies and business, but given that nearshoring is the central topic of this post, we can’t avoid talking about countries.
Their strengths and weaknesses vary a lot from region to region, making it difficult to establish generalities. However, there are some key factors you should keep in mind when researching countries: political, economic, and judicial stability.
Usually, nearshore countries fall into the category of “developing countries”, which makes them interesting because of lower costs, but many often suffer from social upheavals, economic crises, and mismanaged governments.
Any of these issues can put your investment or business at risk because they could lead to exchange rate restrictions, massive layoffs, authoritarian governments, or expropriations.
When looking at which country to choose, consider Uruguay. This South American country is recognized worldwide for its enduring democratic institutions and solid rule of lay, high human development index, stable and open economy, excellent English level, the fastest internet connection in the region and massive tech education investment.
Summary
Key things to keep in mind when choosing which nearshore digital transformation agency to partner with:
Take advantage of natural nearshore lower costs and aim for quality providers rather than blindly going for the cheapest option available
Get close to development teams genuinely trying to understand what you need, instead of imposing their solutions. Value honest and involved development teams who aren’t afraid of telling what they think
Give special consideration to software companies with UX/UI expertise. You want your users to experience software that runs as good as it looks
Stick to firms that let you freely come and go within flexible working frameworks. They’ll sustain value-based relationships, providing ROI to you
Look for the most stable countries to invest in. Stay updated on news about political instability, economic crises, or social upheavals. This way you’ll avoid future pitfalls.
There’s plenty of material telling you about the benefits of outsourcing software development services to nearshore companies. The upsides are similar time zone, cultural affinity, a high-quality talent pool, and cost reductions. Even though these things are true, that’s just a general idea of what nearshore outsourcing is all about.
You might be already interested in it, but given how many software development teams are out there, how do you know which one you should partner with?
Read on as we point out what factors are most important to consider when choosing your next nearshore software partner.
A bargain might compromise your business
If you’re considering nearshoring just to save as much money as possible, then you’re missing the point. In fact, just considering the cheapest option could lead to bad experiences.
Magne Jørgensen, researcher and professor at the University of Oslo, showed in a research paper that software providers with bids 25% lower than the average correlate to a 9% increase in the frequency of project failure for the same skill level, suggesting that an excessive emphasis on low prices makes it more likely that projects fail.
Software development is no simple task. It takes hard work, knowledge, skill, and most importantly time, to end up with a scalable, testable, and user-friendly software product ready to run.
Promises of exceptionally quick work at the lowest price should be viewed with healthy skepticism. You might know of folks in your community who have already gone through bad situations when their cheap outsourced software turned sour, like Boeing's offshore outsource fiasco.
Don’t get discouraged though!
Finding quality nearshore software development companies while not breaking the bank is still possible because of the exchange rate, salary differences, and great talent pool. You just need to take your time and correctly assess your potential partners before making a decision, which leads me to my next point.
Agile methodology is key to success
Avoid injecting money into a black box, only to open it months or years later and find something completely different than what you were expecting. Partnering with software companies with a strong agile approach is a great way to prevent this.
The Forbes Technology Council agrees that an agile software development process translates into quality project management: faster feedback cycles, effective problem identification, disrupting changes prevention, flexible prioritization, maintaining high customer satisfaction, identifying benefits sooner, free commitment and continuous improvement.
Software development does better in an ongoing back-and-forth process, where you describe your desired result to your IT partner, evaluate the intermediate results, both parties provide feedback and exchange opinions, and iterate the process until convergence is finally achieved.
And how do I identify a software company with a strong agile culture you ask? You should evaluate how they behave. Shy away from those trying to sell you pre-established solutions, and stick to those who are honestly trying to understand what your needs are and how your business model works.
A good agile team will not only come to the Scrum Ceremonies with regular updates, but they will dive deep into your ideas and actively look to suggest recommendations and improvements to your product.
Every project is unique, and will require the most focused, responsible, and committed development team to bring your ideas down to earth and successfully deliver. Checking references is a good starting point.
The importance of user experience (UX)
Nowadays our brains are being bombarded with information and stimulus coming from everywhere, specifically from our computers and cell phones, constantly distracting us with our social media feed, news updates, work info, and more.
Therefore, customers aren’t only needing, but are demanding, simple and easy-to-use UX/UI that lets them quickly understand and make use of your services, giving a necessary rest to their busy heads meanwhile.
To get an idea of how important this is, take for instance a research study by Baymard where they tracked the global average e-commerce cart abandonment rate for 9 years, concluding it was around 69%. The main reasons were UX/UI flaws at the design and check-out flow that frustrated or made it hard for users to buy.
If this wasn’t enough to make a point, suffice to say that after a no-ROI period, Walmart decided to redesign its website in 2018, paying special attention to UX/UI. The results: Walmart’s e-commerce sales grew by 43%.
The important question here is whether your software consultant can turn all those lines of code into something accessible and easy for your customers to use and love.
When searching for your next nearshore software development agency, take a look at their case studies. See if their previous projects not only do what they say but also look professional, simple, and smooth.
Don’t forget that even if you have the most solid software engine running, it's worthless if users find it counterintuitive.
Go for flexibility
Today's world moves fast. To survive, you must have the ability to quickly adapt to new situations.
What worked for you in the past might not be useful now. Committing to long-term relationships with a partner through hard-binding legal contracts might not be your best bet.
Outstanding nearshore digital transformation agencies know and embrace this. Moreover, they will offer flexible working frameworks where you can easily ramp up and down without any bureaucracy.
They will freely let you decide if you want to stay or leave because they’re committed to consistently providing you with the best service. That way you’ll want to keep choosing them as your software development partner because you continue to see ROI in the relationship. That’s the kind of value-based relationship you’re looking for!
Look for stable countries
So far we’ve talked about software companies and business, but given that nearshoring is the central topic of this post, we can’t avoid talking about countries.
Their strengths and weaknesses vary a lot from region to region, making it difficult to establish generalities. However, there are some key factors you should keep in mind when researching countries: political, economic, and judicial stability.
Usually, nearshore countries fall into the category of “developing countries”, which makes them interesting because of lower costs, but many often suffer from social upheavals, economic crises, and mismanaged governments.
Any of these issues can put your investment or business at risk because they could lead to exchange rate restrictions, massive layoffs, authoritarian governments, or expropriations.
When looking at which country to choose, consider Uruguay. This South American country is recognized worldwide for its enduring democratic institutions and solid rule of lay, high human development index, stable and open economy, excellent English level, the fastest internet connection in the region and massive tech education investment.
Summary
Key things to keep in mind when choosing which nearshore digital transformation agency to partner with:
Take advantage of natural nearshore lower costs and aim for quality providers rather than blindly going for the cheapest option available
Get close to development teams genuinely trying to understand what you need, instead of imposing their solutions. Value honest and involved development teams who aren’t afraid of telling what they think
Give special consideration to software companies with UX/UI expertise. You want your users to experience software that runs as good as it looks
Stick to firms that let you freely come and go within flexible working frameworks. They’ll sustain value-based relationships, providing ROI to you
Look for the most stable countries to invest in. Stay updated on news about political instability, economic crises, or social upheavals. This way you’ll avoid future pitfalls.
Applying changes across microservices is difficult because business logic is distributed across multiple services, each with its own data, contracts, and responsibilities.
In our experiment at Kaizen Softworks, we tested whether an AI system could safely apply coordinated changes across a microservices architecture using only minimal input.
Short answer: Yes, but only when the AI has enough architectural context.
Why are coordinated changes in microservices so hard?
In distributed systems, a single business change rarely affects just one service.
It often requires:
Updating multiple microservices
Modifying message contracts
Keeping DTOs (Data Transfer Objects) consistent
Respecting domain boundaries defined by Domain-Driven Design (DDD)
Key entities in this system:
Microservice: An independently deployable service responsible for a specific domain
Aggregate (DDD): A cluster of domain objects treated as a single unit
DTO (Data Transfer Object): A structured format used to transfer data between services
Message/Event: A communication mechanism between services
The complexity is not in the code, it’s in the relationships between components.
The experiment: Can AI reason across services with minimal input?
We designed a controlled experiment to test whether an AI model could apply system-wide changes with limited information.
Input given to the AI:
Message definitions (events between services)
DTOs (data contracts)
Tasks the AI had to perform:
Identify affected aggregates
Determine service ownership
Apply coordinated changes across services
Maintain consistency in messages and DTOs
In other words, the AI had to behave like a software architect, not just a code generator.
What was the biggest obstacle?
The biggest challenge was not technical, it was contextual.
Problem: unclear service naming
Instead of descriptive names like:
order-service
billing-service
Our services were named:
john
sally
roger
This removed any semantic clues about responsibility.
Result: The AI could not infer which service owned which domain logic.
The missing piece: aggregate ownership mapping
To solve this, we introduced a simple but powerful structure:
Aggregate → Service mapping
Order → john
Shipment → sally
Invoice → roger
This created a clear relationship between domain concepts and system components.
Once ownership was explicit, the architecture became understandable.
How we used AI to generate architectural context
Instead of building this mapping manually, we used AI to analyze the codebase and extract:
Where each aggregate was defined
Which microservice implemented it
The relationship between domain and infrastructure
The result was a machine-readable architecture map.
In practice, we used AI to generate the context that AI itself needed.
Results: Can AI safely apply distributed changes?
With the architecture map in place, the AI was able to:
Trace message flows across services
Identify affected aggregates
Locate the correct microservices
Apply coordinated updates
Maintain consistency between DTOs and messages
While not perfect, the system worked reliably as a proof of concept.
What is the real limitation of AI in microservices?
The main limitation of AI is not code generation, it’s architectural understanding.
Without knowing:
Which components exist
How they relate
Who owns what
AI cannot safely modify a distributed system.
AI performance depends more on context quality than model capability.
When can AI safely modify microservices?
AI works well when:
Aggregate ownership is clearly defined
Message contracts are explicit
Architecture is structured and consistent
AI struggles when:
Naming is ambiguous
Relationships are implicit
Context is incomplete
Simple rule: If the architecture is clear, AI can reason. If not, it guesses.
Final thoughts
This experiment revealed something important:
AI doesn’t fail because it can’t write code. It fails because it can’t see the system.
As teams move toward AI-assisted development, the focus will likely shift from:
Writing better code to Designing better systems for machines to understand
At Kaizen Softworks, we see this as a foundational shift.
Because when AI can understand architecture, it doesn’t just generate code, it helps evolve systems.
There's a myth that in flat organizations, everyone decides on everything.
That's not how it works. At least not at Kaizen.
When people hear "no managers," they often picture one of two extremes: either total chaos where nobody is accountable, or endless meetings where 80 people vote on which coffee to buy. The reality is neither.
Not everyone decides on everything. Not everyone votes. What we do have is a clear set of decision-making methods that we choose based on context.
It depends on who's affected and how deep the impact goes
Before choosing how to decide, we ask ourselves a few questions:
Who is affected? A decision that only impacts one team doesn't need the whole company involved. A decision that affects everyone's daily work does.
How deep is the impact? Changing the office furniture is wide but shallow. Changing the salary model is deep and lasting.
Is it reversible? If we can easily undo it, we can move fast and just inform. If it's hard to reverse, we slow down and include more people.
How urgent is it? And here we're careful to distinguish real urgency from anxiety, the pressure to decide quickly because someone already has "the answer" in mind.
These dimensions help us pick the right method. Not every decision deserves the same process.
Our decision-making toolkit
Over the years, we've landed on a few methods that we use depending on the situation:
1. Role-based decisions
Some decisions belong to a specific role. If someone owns a responsibility, say, office logistics or hiring for a team, they decide within that domain. No committee needed. The key is that roles are transparent: everyone knows who owns what, and the scope of each role's authority is clear.
2. Advice Process
When a decision doesn't clearly belong to one role, or when it crosses boundaries, we use the advice process. Here's how it works:
Someone takes the initiative. They identify the problem and own the process.
They gather input from people who are affected and people with expertise.
They seek advice, real conversations, not rubber-stamping.
They make the decision and communicate it, including what advice they incorporated and what they didn't (and why).
The decision-maker is not a committee. It's one person (or a small group) who takes responsibility. But they don't decide in isolation, they bring in the perspectives that matter.
We sometimes call this "Team Advice" when a working group forms around an issue that doesn't naturally fall into anyone's area, and "Area Advice" when a team opens up a topic that exceeds their own scope.
3. Consent (not consensus)
Consent is not "everyone agrees." Consent means "no one has a strong enough objection to block this." We do use a poll, but not to count votes — we use a 1-to-5 scale to measure the level of agreement and surface objections, not to let the majority rule.
We use it in two flavors:
High-participation consent: For decisions with deep, company-wide impact. This is our most expensive and slowest method, which is exactly why we reserve it for high-impact decisions that affect many people. The Board sets the boundaries, for example, when we moved offices, they defined the monthly budget. Then a working group produced proposals, collected feedback, evolved them, and the whole company expressed their position for the final decision. Silence is not approval; we explicitly ask people to weigh in, even if it's just "I have no objection."
Lightweight consent: For decisions that are broad but not deep. Participation is optional, anyone who's interested can jump in. We share the proposal, open a window for objections, and if nobody opposes, we move forward. This gives us speed without sacrificing transparency. If nobody engages, that's a signal too, maybe the proposal doesn't add enough value, or we're using the wrong channel.
4. Inform, don't fake-consult
Not everything needs participation. When a decision has already been made through a legitimate process, the right move is to inform, not to fake-consult. One of the fastest ways to kill self-management is to ask for feedback and then ignore it. If you're not going to change course based on input, don't ask for it, just be transparent about the decision and the reasons behind it.
What we explicitly avoid
Decision by Voting. In a company context, majority rule creates losers. And losers become detractors, often generating more resistance than an autocratic decision would have. Instead of voting, we prefer to evolve a proposal through feedback until it's "good enough for now," and then introduce a review point to adjust later. If voting happens at all, it's the cherry on top, not the main course.
The "surprise" approach. Working behind closed doors and then unveiling a finished decision is a recipe for frustration. Adults don't need surprises. Adults need to feel like they're part of the process. The complaints that follow a surprise aren't about the decision itself, they're about not being included.
Why we work this way
We didn't adopt these methods because they're trendy. We adopted them because they solve real problems:
Better decisions. When you include affected people, you get information you wouldn't have had otherwise. Ideas emerge that no single person would have come up with alone.
Less resistance. A person who feels heard is far less likely to resist a decision, even one they wouldn't have made themselves.
Faster execution. It sounds counterintuitive, but participative decisions often execute faster because people already understand and support them. The time you "save" by deciding alone, you spend later managing pushback.
Distributed authority. When people can make decisions within their domain without escalating everything to a founder, the organization scales. The bottleneck disappears.
Resilience. If a shared decision fails, the group adjusts together. If a top-down decision fails, the blame falls on one person and the chances of proactive correction drop.
The real principle behind all of this
Transparency is the foundation. Every method we use, from role-based decisions to high-participation consent, works because information flows openly. People know what's being decided, who's deciding it, and how they can participate.
Horizontal doesn't mean structureless. It means fewer hierarchical levels, clearer roles, and intentional decision-making processes that match the weight of each decision.
Not everyone decides on everything. But everyone knows how things get decided.
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