For decades, the conventional wisdom around enterprise software has been pretty straightforward: buy whenever possible, and build only when absolutely necessary. From a pure economics perspective, this reasoning has made good business sense. Commercial software vendors could spread development costs across thousands of customers, making custom software hard to justify on both cost and risk grounds. Unless a process was truly unique to your business, buying was usually the safer and more economical choice.

However, that equation is starting to change. AI, low-code platforms, cloud-native services, and modern development frameworks have dramatically changed how software gets built and maintained. Development teams can now build, test, document, and ship applications faster than ever before. At the same time, organizations are waking up to the hidden costs that come with commercial software: long implementation projects, complex customizations, integration headaches, recurring subscription fees, and the ongoing effort required to bend your business processes around someone else's software design.

In this article, we'll take a look at how AI is reshaping the economics of software development, why custom software has become more accessible, and why purpose-built solutions are starting to look more attractive compared to heavily customized SaaS and commercial off-the-shelf (or COTS) applications.

The Slow Collapse of Commercial Software's Golden Age

Few industries have generated more economic value over the past several decades than enterprise software. ERP and CRM systems, industry-specific applications, and modern SaaS platforms gave organizations a practical path to standardized processes, improved productivity, and capabilities that would have been prohibitively expensive to build from scratch.

That success was not by accident. A specific set of economic, technical, and operational conditions made buying software the most rational choice for organizations of almost any size. Those conditions shaped how entire industries were built, funded, and sold. Understanding them is essential context for understanding why that logic is now starting to break down.

Why Buying Used to Always Win

The success of commercial software was never really about creating perfect solutions for every customer. Instead, the game was to create "good-enough" solutions for as many customers as possible.

For customers, this was often a reasonable tradeoff. In exchange for lower costs and faster deployments, organizations were willing to accept some level of compromise. As a result, they adapted business processes, worked around functional gaps, and occasionally changed how work was performed in order to align with the software. Entire consulting industries emerged to help organizations configure, customize, and implement commercial software while minimizing those compromises.

Meanwhile, software vendors faced the same economic realities as any manufacturer. The more customers they could serve with a single product, the more they could spread development costs and improve profitability. This naturally led to software platforms designed around common business processes rather than the unique ways individual organizations operated.

Despite the obvious limitations, this "one-size-fits-nobody" model has worked remarkably well for decades. Still, it was built on a fundamental assumption that customization would always be significantly more expensive than standardization. The question worth asking today is whether that assumption still holds true.

The Hidden Costs of Buying

When organizations evaluate commercial software, the conversation usually starts with licensing costs and implementation estimates. Unfortunately, it frequently stops there. Treating the purchase as the primary financial event is one of the more common mistakes in enterprise software decisions. In many cases, the purchase price is merely the entry fee.

Before go-live, you still need to configure the system, integrate it with existing tools, migrate data, train users, and manage the change that comes with any significant process shift. After go-live, the costs keep coming with subscriptions, support agreements, upgrades, and ongoing consulting to extend or maintain what was initially built.

SaaS has made this dynamic more visible, if not necessarily better. Here, recurring subscriptions have replaced large upfront purchases, but the subscription costs compound. As you add more users, expand into new business units, or layer on additional modules, what appeared affordable during procurement can look quite different at the five- or ten-year mark.

In addition to all that, there's another cost that doesn't show up in the budget: compromise. Commercial software is built to serve a broad market, not any single organization. The gap between what a platform does and what a specific business needs is almost always filled by process workarounds, supplemental spreadsheets, or custom-built add-ons. Those gaps have real operational costs, even if no one is tracking them as a line item.

It's also worth noting that many organizations are paying for significantly more functionality than they actually use. Industry research has suggested that the average customer only utilizes about 27% of the capabilities included in their ERP system, yet they continue paying for the full package year after year. Vendors add features to win deals and retain customers across a wide range of industries and use cases. Meanwhile, you as the customer end up subsidizing functionality that has no relevance to your business.

Of course, this doesn't commercial software is a bad investment. The point is that acquisition cost is not the same as total cost. As the economics of building software continue to shift, this is something that needs to be considered more carefully.

What's Changed?

Up until recently, custom development meant creating nearly everything from scratch. User interfaces, security models, integrations, workflow engines, reporting, infrastructure, deployment pipelines, testing frameworks: all of it required significant time and effort. Even relatively straightforward business applications involved lengthy development cycles and substantial custom code.

That environment looks very different today. Cloud platforms provide ready-made services for identity management, storage, messaging, analytics, security, and AI. Low-code tools accelerate development. APIs make integration way more manageable. Open-source frameworks and reusable components have eliminated much of the foundational work that once consumed entire project budgets before a single line of business logic was written.

Then agentic AI entered the picture and disrupted everything again.

AI-powered development tools can now generate code, produce documentation, assist with testing, review pull requests, and help developers navigate complex codebases. Tasks that once took days can sometimes be completed in hours. Requirements translate into working prototypes faster. Test coverage expands with less manual effort. Documentation actually gets maintained.

What's perhaps most significant is that AI is reducing costs across the entire software lifecycle, not just the development phase. We can use AI to improve knowledge management, accelerate onboarding, support troubleshooting, and maintain technical documentation over time. Plus, if we maintain clean repositories and strong architectural standards, AI has real potential to bring down long-term maintenance costs in ways that would have seemed unlikely just a few years ago.

The Rise of Affordable Custom Solutions

As we've seen, modern development platforms, cloud services, low-code tools, and agentic AI are combining to produce something that would have been hard to imagine just a few years ago: enterprise-grade custom software at a price point that can genuinely compete with commercial alternatives.

This shift isn't happening because software has gotten simpler. If anything, development has gotten harder as business requirements keep growing in complexity. What has changed is the effort required to turn an idea into a working solution. Development teams can now draw on prebuilt services, reusable components, AI-assisted tooling, and mature cloud platforms to deliver faster without sacrificing security, scalability, or maintainability.

The practical result is a new generation of custom solutions that are both more affordable to build and more realistic to maintain over time. Nowadays, you can get your hands on tailored software designed around your specific processes, users, and goals without accepting the compromises that tend to come with broad commercial platforms. In many cases, you can do this while sidestepping the perpetual licensing costs, feature bloat, and operational complexity that have historically driven up the long-term cost of commercial software ownership.

That doesn't mean every application should be custom-built. It does mean the range of problems that can be economically solved through custom development is expanding quickly. Solutions that were hard to justify a few years ago now deserve serious consideration, particularly when the goal is a differentiated customer experience, a streamlined proprietary process, or capabilities that simply do not fit within the constraints of a commercial product.

Getting Exactly What You Want

At the risk of stating the obvious, one of the most overlooked benefits of custom software is that it can be designed around the way your business actually works.

Before, compromise was an accepted part of the software selection process:

• Requirements were prioritized and trimmed.

• Business processes were adjusted to fit the chosen platform.

• Spreadsheets and other workarounds appeared to bridge gaps.

• Supplemental applications were built to handle edge cases.

These accommodations are sometimes manageable in the moment, but make no mistake, this kind of technical debt eventually becomes untenable.

Affordable custom development changes that equation.

Instead of starting with a product and asking how the business should adapt to it, organizations can start with the desired outcome and build what's actually needed to support it. Workflows follow existing processes rather than replacing them. User experiences reflect specific roles and responsibilities. Integrations support the broader technology landscape. Features that add little value get left out, producing simpler, more focused applications that are easier to learn and easier to maintain.

Figure 1: Comparing the Costs of Customizing/Enhancing COTS Packages vs. Building a Custom Solution

Mitigating Feature Debt

This is also where the concept of feature debt becomes worth examining. To appeal to the broadest possible market, commercial software vendors add functionality continuously. Over time, products accumulate hundreds or thousands of features built for different industries, business models, and customer segments. Some of these features may be genuinely useful. However, much of it becomes functionality that organizations end up paying for, training on, navigating around, and securing without ever deriving meaningful value from it. The software grows more complex not because the business requires it, but because the product is trying to serve everyone at once. Over time, this hidden complexity tax can really add up.

Custom solutions take the opposite approach. By building exactly what you need, you avoid paying for everything you do not. When done right, the result is typically a leaner application, a more intuitive user experience, and a lower total cost of ownership over time.

There's often a second-order benefit to this: user adoption. Employees are far more likely to embrace tools that reflect how they actually do their jobs. Rather than navigating feature-heavy interfaces built for dozens of different use cases, your team gets something designed specifically for the tasks they perform every day. That alignment tends to show up in engagement, data quality, and process compliance in ways that are hard to achieve through training alone.

Of course, the goal isn't customization for its own sake. It's to eliminate unnecessary complexity and deliver software that supports the business rather than requiring the business to support the software. As the cost of building continues to fall, more organizations are in a position to pursue that goal than at any point in the history of enterprise software.

Building More of What Matters

One of the major benefits of lower-cost development is that it unlocks the ability to tackle those big, nasty problems that are holding your business back. We're talking about game changing software solutions that could streamline operations or sharpen your competitive edge. We talked about this concept at length in an earlier blog article entitled Pointing AI at Your Competitive Edge.

In the past, most of these ideas never made it past a whiteboard. Not because they lacked value, but because the economics simply didn't work. Custom development required large teams, long timelines, and significant maintenance commitments. The expected return rarely justified the investment, so organizations learned to live with inefficient processes, manual workarounds, disconnected systems, and the opportunities those constraints quietly cost them.

That math has changed quite a bit.

Development teams can now deliver sophisticated applications faster and at a lower cost point than ever before. AI-assisted development, low-code platforms, cloud services, and reusable components allow organizations to direct more of their investment toward solving actual business problems rather than building the technical infrastructure needed to support them.

That shift creates an opportunity to revisit initiatives that were previously considered too expensive, too risky, or too ambitious. Customer portals that deliver differentiated experiences. Field service applications that improve technician productivity. AI-powered tools that help employees make better decisions. Operational workflow applications that eliminate manual effort and accelerate core business processes. These solutions tend to sit much closer to your competitive advantage than traditional enterprise software, which makes them strong candidates for custom development.

In many cases, the question is no longer whether something can be built. It's whether the value it creates exceeds the cost of building it. As development costs continue to fall, more initiatives clear that threshold. That's where affordable custom development becomes genuinely significant. It doesn't just change how software gets built. It changes which problems are worth solving in the first place.

Revisiting the TCO Conversation

When organizations evaluate software investments, it's common to compare the cost of building a solution against the cost of purchasing one. On the surface, that seems like a reasonable comparison. After all, both approaches require an investment of time, money, and resources.

However, as we've seen, software acquisition costs rarely tell the whole story.

Whether you choose to buy or build, there are implementation costs, integration efforts, user training, change management activities, ongoing support requirements, and future enhancements to consider. The real question isn't which option costs less to acquire. The question is which option delivers the greatest value at the lowest total cost over its entire lifecycle.

Historically, commercial software enjoyed a significant advantage in this analysis because development and maintenance costs were so high. But as we've explored throughout this article, modern development platforms and agentic AI are steadily reducing those costs. At the same time, subscription-based pricing models, increasing software complexity, and growing feature debt are causing many organizations to take a closer look at the long-term economics of commercial software ownership.

Figure 2: Comparing the Costs of Buying vs. Building

As the cost curves begin to converge, it becomes increasingly important to evaluate software decisions through a total cost of ownership lens rather than relying on assumptions that may no longer reflect today's reality.

From CapEx to Perpetual OpEx — and Back Again

One of the biggest drivers behind the SaaS revolution was the promise of lower upfront costs. Instead of making large capital investments in software licenses and on-premises infrastructure, organizations could spread costs over time through predictable subscription fees. That made sophisticated software accessible to more businesses and removed many of the financial barriers that came with traditional software deployments.

For many organizations, the tradeoff made sense at the time. Skip the large upfront investment, pay only for what we need, and keep the balance sheet clean. It all sounded reasonable. What nobody fully anticipated was how quickly those modest subscription fees would multiply. One platform became five. Five became twenty. Fast forward to today and the average organization is running somewhere in the neighborhood of 200 to 300 SaaS solutions, creating software spend that grows with every new user, business unit, acquisition, or feature add-on.

None of this is an argument against SaaS. Subscription-based software remains the right fit for many business capabilities. But the economics get more interesting when evaluating solutions that are highly customized, strategically important, or intended to stay in service for many years. In those scenarios, cumulative subscription costs can eventually exceed what it would cost to build and maintain a purpose-built alternative.

Affordable custom development introduces a different path. Now, you can invest in solutions that you own outright while still leveraging cloud infrastructure and managed services to keep operational costs predictable. Rather than paying licensing fees indefinitely, you can direct more of your investment toward capabilities that create real business value.

The future isn't a return to massive upfront software projects. But it does suggest that organizations should think more carefully about where ownership creates value and where renting capabilities makes more sense. As the cost of custom development continues to fall, the balance between CapEx and OpEx is shifting again and the math is worth revisiting.

AI's Impact on Maintenance Costs

One of the most persistent arguments against custom software has always been maintenance. Building an application is one thing, but supporting it for the next five to ten years is another conversation entirely.

This is where custom solutions have historically struggled. Documentation falls behind. Key developers move on. Business requirements change. Technical debt accumulates. Even well-designed applications can become increasingly expensive to maintain as the people who built them and the context they carried walk out the door.

AI tooling changes all that.

Most of the conversation around AI in software development focuses on code generation. But some of the most significant long-term benefits may actually come from everything that happens after the code is written. AI tools can help teams generate and maintain technical documentation, produce test cases, identify code quality issues, accelerate onboarding for new developers, and assist with troubleshooting. Work that used to get skipped because it felt low-priority and time-consuming can now be done faster and more consistently.

AI is also making automated testing more accessible. Teams can use it to generate regression test suites, expand test coverage, and validate application behavior as systems evolve. That reduces the risk that comes with enhancements and upgrades, which has historically been one of the more expensive parts of owning custom software.

Of course, none of this is a substitute for good engineering practices. Strong architectural standards, disciplined source control, and organized documentation are arguably more important than ever because AI amplifies what's already there. Teams with clean codebases and healthy development habits are positioned to get far more out of these tools than teams that are not.

The broader point is that maintenance is no longer the liability it once was. Custom applications will always require ongoing support and investment. But the tools available to modern development teams are making that work faster, more consistent, and less expensive over time. Just as AI is changing the economics of building software, it's also beginning to change the economics of owning it.

Build, Buy, or Both?

If all this reads like an argument for replacing commercial software with custom applications, that's really not our intent.

Commercial software remains one of the most effective ways to deliver common business capabilities. Few organizations should seriously consider building their own ERP, CRM, HR, payroll, or cybersecurity platform. These products represent decades of investment, deep industry expertise, and continuous innovation that would be difficult and expensive for most organizations to replicate on their own.

What's changing isn't the value of commercial software; it's the range of problems that can now be addressed through custom development. As costs fall and the economics of software delivery improve, you now have more room to be deliberate about where you standardize and where you differentiate.

Increasingly, the answer isn't build or buy. It's build and buy. Commercial platforms handle commodity capabilities well. Custom development handles everything that's specific to how your business operates, competes, and serves its customers. The two are not in conflict. In fact, when used well, they complement one another very nicely.

The organizations that figure that out first will have a meaningful advantage over those still treating it as an either-or decision.

Building a Composite Enterprise

As organizations rethink the build-vs-buy equation, a new operating model is starting to take shape. Rather than relying exclusively on commercial software or attempting to build everything from scratch, more companies are deliberately and strategically doing both.

At the center of this model are commercial platforms that handle core business capabilities. ERP systems manage financials and operations. CRM platforms support sales and customer engagement. Productivity suites enable collaboration. These systems provide a common foundation and continue to deliver real value.

Around that foundation sits an expanding ecosystem of purpose-built applications, integrations, automations, AI agents, and digital experiences tailored to how the organization actually operates. Rather than forcing every business process into the confines of a single commercial platform, companies can extend and enhance their core systems with solutions designed around their specific workflows, users, and competitive priorities.

The logic is straightforward: standardize where standardization creates value, and build where differentiation does. Commodity capabilities get purchased and maintained through commercial software. Differentiating capabilities get built and evolved as the business changes. The result is a technology landscape that is both more flexible and more honest about how the business actually creates value.

In some ways, this is a return to treating software as a strategic asset. For years, the prevailing advice was to adapt your processes to fit your software. Modern development platforms and agentic AI are making it practical to flip that around. Businesses can once again shape software around how they operate rather than shaping operations around the limitations of the software.

The organizations that do this well will not necessarily be the ones that build the most. They will be the ones that know which capabilities are truly strategic, which are simply operational, and where custom development creates an advantage worth pursuing. Buy what's common. Build what's unique. Integrate it into something coherent. That's the composite enterprise.

Closing Thoughts

The forces reshaping software economics aren't slowing down. AI capabilities are expanding. Development platforms are maturing. Cloud services are getting cheaper and more capable. The gap between what it costs to buy software and what it costs to build it will continue to narrow.

That doesn't mean commercial software is going away. It means the decision deserves more scrutiny than it has received for most of the past two decades. Organizations that default to buying out of habit, without honestly evaluating TCO, the value of differentiation, or the real cost of compromise, will increasingly find themselves at a disadvantage relative to those that think more carefully about where each approach creates value.

The composite enterprise isn't that radical of an idea. It's a practical response to a changing environment. Buy what's common. Build what's unique. Use AI to do both more efficiently. The organizations that internalize that logic now will be better positioned than those that wait until the economics force the conversation.

And that moment may be closer than most people think.