Rebuilding a legacy application used to cost a business on average $1.5 million. In 2026, that same legacy system rebuild can be done for closer to $120,000 to $250,000. That is roughly 88% cheaper, and in most cases you get a better system.
We used to tell about 80% of the people who wanted to work with us to rebuild their legacy system that they should go find something off the shelf, because a seven figure custom build only made sense for companies large enough to absorb it. That math has changed.
We are the co-founders of Pilot West Studios out of Nashville, Tennessee. We have US-based developers that build custom software for other businesses, specializing in manufacturing, distribution, logistics, and some agriculture. Jake runs the client side, sales, marketing, and operations. Adam is our CTO leading the technical side of actually rebuilding these applications.
This is not theoretical. It comes from conversations with dozens of business owners every year, and from seeing what implementation actually looks like when it is done well.
What changed in 2026
When we first started our business and started doing legacy system modernization projects, probably 80% of the time we were saying, “Go get something off the shelf.” Because on average, $1.5 million is somewhere in the middle of what it would cost a company to build out their entire system from scratch. That includes modernization, so taking their legacy system and modernizing it.
$1.5 million is not a small investment. You need to be sure you are getting some return on that.
But in 2026, we are seeing the cost is closer to $120,000 to $250,000. That is 88% cheaper than what it used to be. And a lot of times you are getting a better system out of it. More secure, faster, with more of the features you actually want. That is because we are not having to make as many trade-offs based on how long it takes to implement code and ship it out to users.
The math on whether you should get something off the shelf or build it in house is changing rapidly.
The distributor who was quoted $1M and paid $2M
When you think about why things are changing, it helps to look at what you used to have to do. Originally, if you were a company trying to rebuild a legacy application, you had to be a pretty decent size.
We have a client that is a nine figure distributor. When they were in the seven figures, much smaller before they started taking off, they had to rebuild one of their older applications due to some things changing in their industry. They had to rebuild everything to be compliant, and to give the application more of a lifespan.
They reached out to an agency and heard, “Okay, it is going to be a million dollars and a year.” It ended up being over two million dollars two years later. Which is common even now, even though this was 10 or 15 years ago.
That was the landscape. As a business owner, you just had to bite the bullet and go, “Okay, if I am spending seven figures, is this going to be worth eight or nine figures, considering this is the backbone of my business?”
Prior, this used to be a seven figure investment and more of an enterprise or large business size type decision. Those were the only companies that could afford to play. They were the only ones who could reasonably afford it. But now it has come down to even the small and medium sized business, where you can do the same thing even better at a fraction of the cost.
Why off-the-shelf can fail
When we talk to business owners who felt like they could not find the right solution off the shelf, it is genuinely difficult for them. Either their business is not tailored to what exists, or it operates in a specific way that nothing off the shelf meets.
And even if a tool did fit and did everything you wanted, taking 20, 30, 40 years of data from your old system into an off-the-shelf solution can be challenging. Sometimes impossible, where the vendor may not even support it.
So you get into this weird situation where you feel like custom is the only answer, but you also think (well, I cannot afford seven figures to do this). In the past year, that has changed.
Where the cost savings actually come from
Why is it so much cheaper now?
It is not because developers are charging less. If anything, the best developers are charging more. That is because they can deliver so much value in such a short amount of time that billing hourly does not make any sense. If you find a developer billing hourly, there is a high chance they are not taking advantage of these efficiencies.
A huge cost of “the before times” was that in order to accurately map your business processes into software, you needed a team of five, six, ten, a hundred people depending on how big your business is. Certainly more than one person.
That is just not the case anymore. We will go walk the floor of a business recording audio. By the time we finish walking the floor, we will have over 10 hours of audio. Asking questions. Seeing things they present to us. Hearing in their own words them repeating the problem back to us, stating how things work, telling us how things should work but currently do not.
All of that information goes into a transcription layer where we can say, “Here are the key problems we have to solve.” And now a single engineer who does not need to coordinate, does not need to re-explain things to a designer or a project manager, does not have to ask other people for context updates, that one person can ship the code. They can communicate directly with the key stakeholders in the business.
It used to take a ton of organization and communication to make these things happen. Communication is still a critical skill for any business. But when you only have one person who needs to know everything related to building the software, it goes so much faster and so much smoother.
The myth that more developers means faster
This applies to a seven figure business all the way up to a nine figure business. This is not just a vacuum of, “Well, that is nice but it does not apply to me.” It applies across company sizes.
For non-technical business owners and operators, the instinct is that “more is better.” “If I get more developers, I can move faster.” That is a myth, and it is one that has been documented for decades.
The old phrase is not “there are too many developers in the kitchen.” It is “too many cooks in the kitchen.” We have known for a long time that throwing more resources at a problem does not make it faster. It rarely makes it more efficient.
There is a “less is more” approach here. When you have one person who is deeply skilled at the process of discovery, articulating your problems, and understanding what technology is available to make those problems go away, you eliminate a whole class of communication errors.
There is an old book from the seventies called The Mythical Man Month that covered this. You cannot ask nine women to have a single baby in one month. That is just not how it works. Some things are consecutive and they take time. And the more people you add, the more time it takes, because of communication delays, assumptions, and preconceived notions that all have to get worked out in conversation. When there is only one person to communicate with, all those problems go away.
When there is only one person to communicate with, all those problems go away.
It has always been true that a single developer who owns an entire code base is more effective and more efficient. It just used to be economies of scale. You could not pipe out the solution fast enough, then test it fast enough, then produce a design that looks reasonably pleasing to the eye. One person could not do all that work.
That is no longer the case. So the next efficiency you gain is removing the redundant personnel that used to be required. One skilled developer can do all of it now.
Why waiting another year might be a valid strategy
AI is the driver of all of this. As the industry gets better at utilizing it, we keep finding new workflows. The audio recording approach is one of them.
We actually had meeting transcriptions long before we had AI. What AI gave us was the ability to comb through a two-hour meeting. Instead of reading it, synthesizing it, and making sense of it all ourselves, we can pull out the most important points. We can go back through and ask, “Here is what we built. Did we miss anything? Was there anything they mentioned that we skimmed over?”
What we gained is the ability to compress a massive amount of information and produce something from it. Compress one meeting, produce software from it. Compress five or six meetings, produce software from it. That is partly an artifact of AI, but it is mostly a workflow.
As models become more powerful, as they become smaller and we can run them on device, we are going to find more workflows and this is going to keep trending the same direction. One well-versed expert who understands these workflows and how to use these tools will continue to be able to do more.
So ironically, this might be the first time in history where waiting might actually be a valid strategy. If you have been putting off rebuilding your legacy system for 10 years, what is waiting another year? It is already 88% cheaper than it used to be. What will it be next year?
You are probably going to hit some diminishing returns. It is not going to become 100% cheaper. But what is the difference between 88% cheaper and 90% cheaper? For your business it might matter. For most people it probably does not. Either way, the trend continues in the same direction, where one well-versed expert is essentially wearing an exoskeleton. The robots are not doing this themselves. They are being directed by an expert who knows the technology available and is already deeply skilled in the domain.
One well-versed expert is essentially wearing an exoskeleton.
The phased approach to a legacy system rebuild
If you are a business owner looking for someone to make the biggest impact on your business, not billing by the hour is the vehicle that makes sure you have aligned incentives. But it is also someone who is using these tools and understands your business, or at least understands your industry well.
What makes us different in how we operate is that we focus on moving quickly. We are not spending two or three months asking redundant questions like most agencies. We want to be thorough and articulate the pain and problems well, but at the same time focus on action.
We are not building for a year or two before we ship anything. We use a phased approach, and we suggest that even if you are looking at other developers. A phased approach makes the most sense, especially with legacy system rebuilds. For 98% of situations, that is how you ensure that little by little you pull dependency off the old application until it gets phased out entirely.
No huge migration. No turning off one thing and turning on another, whether that is a big box SAP or NetSuite, or something off the shelf, or a custom build that runs a year or two and does not ship until the last bit.
All of that makes team members and business owners concerned, as it should. Things start breaking. Things were not pressure tested. Things were not thought through. And then it is chaotic for months while everyone works it out.
The phased approach smooths out those rough edges. It gives you a way to build something that actually impacts your business and pulls dependency off a legacy system in three to four months, if you have a good engineer who knows what they are doing.
On average, we are showing a functioning production application to our clients within two to three weeks. That is not functionally complete. We are still working on it. But it is something they can start clicking around in and figure out whether it actually feels better for their workflow. There is no reason not to do that. There is no reason to keep this thing a black box nobody looks at for six months. That is a recipe for disaster.
And when you are rebuilding anyway, you are not just building like for like, screen for screen replication. It gives you the chance to think through workflow opportunities and process improvements. You might as well make it a better experience for everyone. The data migration is usually easier. And it lets you move faster.
For all those reasons, in 2026 it makes much more sense to consider rebuilding a legacy system than it did even a year or two ago.
Where AI is overhyped
While all of this might sound like we are 100% pro AI, stuff AI into everything, we are not. We believe AI belongs in specific boxes where it is well suited for the work.
Notice that we said we fly out and walk the floor with our clients. That face-to-face human relationship, making sure we understand the business we are working in, is huge. You cannot replace that. Not yet anyway. We might laugh at this in five years, but you cannot send a robot to walk your customer’s manufacturing floor and record video and audio. You still have to be willing to put in the work, and it is work.
Building human relationships is the backbone that all of these tools and workflows hang off of. You have to deeply care and be deeply involved in your client’s business. Understand what pains they are feeling. You have to empathize. You have to feel it and think (yeah, I understand why this is so painful, because if I were in your shoes doing the same thing, I would hate it too).
If you have had a bad experience with a software agency, it was the opposite of that. They did not care. They were not communicative. They did not keep you in the loop. They did not take accountability.
Using AI to do all of your writing is not good. Not just because it is annoying to read and obvious, but because it shows a disrespect for the other person’s time. That does not mean never use it. We use it a lot for drafting and first passes. But then we make sure it actually sounds human, that we agree with what is being said, and we rewrite it. That takes time out of the day, and that is exactly the point. It shows we value the relationship.
Same reason you will never get an AI chatbot when you contact Pilot West Studios. An AI chatbot says, “You are not important enough for me to spend my human time talking to you, even though you are spending your human time trying to contact me.” Agencies that go too far down that path and get overzealous are going to have to course correct one day. You have to keep the human things first.
Why we never mention AI in our marketing
Anyone reading this can probably empathize that AI is everywhere and most of it is snake oil. Most of it is marketing. That is why even in our own marketing, we do not mention AI. Even though it is a big part of our business and how we operate, we recognize it is just the vehicle that lets us do what we do more efficiently. For someone who needs help or is interested in working with us, it does not matter.
So when you are evaluating what is good in a developer and what might be bad, if someone is hyping up AI or confusing you with jargon and LLM speak, that is a good indication they cannot think outside the technicalities of the vehicle.
When we build, we focus hyper specifically on what problem we are trying to solve and what the business needs to look like. Any developer you hire needs to have that same perspective. They need accountability and empathy for what is happening in your business so they can reverse-engineer a solution using the right tooling. If they are focused on the tooling, or they are specific about how “we have to use Python” or “we have to use this framework,” they may not be the right person. They are focused too much on tools and not enough on how to actually achieve the result.
Say you went to your mechanic and they spent a lot of time telling you about their amazing floor jack that picks up a car in two seconds. That is great for them. It probably makes their job way easier. As the client, you do not care. If they can do the job faster and pass those savings on to you, great. But it would be strange if all of their marketing to you as a customer was about their floor jacks.
What is even stranger, and some developers actually do this, is telling a non-technical operator about the framework they are thinking about building or the back end they want to use. The operator is thinking, “I do not care, just make my problems go away.” It would be like your mechanic asking whether you would prefer they use an adjustable wrench or a ratchet. Whatever gets my car back to me sooner.
If AI helps developers ship the right solution faster, we would prefer they use it. But it is strange to hinge all of your marketing on a tool the client does not care about. You do not care how the sausage is made. You just want good sausage.
You do not care how the sausage is made. You just want good sausage.
What to look for in whoever you hire
If you are trying to assess rebuilding a legacy system, 2026 has been a pivotal moment. We live this stuff every day and use the new models as they come out.
But even recognizing that, and recognizing it is making software easier and cheaper to build and your business more efficient, there are still core fundamentals you have to focus on.
As you evaluate, yes, look for someone who is AI enabled. But it should not be the core of everything they do. That is how legacy systems get built in the first place, how they turn into bloat, how they end up not actually affecting your business because nobody was focused on the right thing.
The good news is the vehicle is faster than it has ever been. The bad news is that it still comes back to the same core fundamentals of finding the right person.
We build custom software for manufacturing, construction, distribution, logistics, and agriculture companies. If you want an honest read on whether rebuilding makes sense for your situation, we will work through it with you at no cost. Our Legacy System Modernization service covers how we approach these rebuilds, or you can book a free consultation and we will talk through where you actually stand.
