Build vs Buy in 2026: Why Small Businesses Deserve a More Honest Conversation
- Ambra Curetti
- May 29
- 7 min read
A fair analysis for SMBs navigating the software decision that most advice gets wrong.
There is a comfortable assumption baked into most SaaS marketing: small businesses have simple problems. Fewer employees, fewer processes, less complexity. Package accordingly. Price accordingly. Move on.
After working closely with small and medium businesses across a range of industries, I've found this assumption is wrong more often than it's right. The consequences of acting on it are real. Teams end up contorting their operations to fit tools that were never designed for them. Costs quietly compound. And the software that was supposed to free people up ends up being another thing to manage.
This post is an attempt to give SMB leaders a more honest framework for the build vs buy decision in 2026. A clear look at what's changed, what still matters, and how to think through it.
The Complexity Myth
When people hear "small business," they tend to picture a handful of people doing straightforward work. And sometimes that's accurate. But the businesses I encounter most often don't look like that.
A ten-person firm advising clients on regulatory compliance. A boutique logistics provider managing exceptions-heavy freight routes. A specialist healthcare service navigating patient journeys that involve multiple practitioners, insurers, and referral pathways. These businesses are small by headcount. They are not simple by any useful definition of the word.
There are a few structural reasons why small businesses end up with disproportionate complexity.
Niche markets generate bespoke requirements
When your customer base is narrow and specialised, their needs don't map onto generic workflows. Regulatory constraints, unusual approval chains, or industry-specific terminology all have to live somewhere in your operations.
Small teams often wear many hats.
A five-person company might run sales, service delivery, account management, and finance through overlapping responsibilities. The workflows that support this are more tangled, not less, than those in a larger organisation with dedicated departments.
High-touch service models add process layers.
Personalised service is often the competitive advantage of a small business. But personalisation means more touchpoints, more exceptions, and more things that need to be tracked.
Workarounds accumulate.
Because most software wasn't built for them, small businesses become expert improvisers. They build elaborate systems of spreadsheets, shared documents, and tribal knowledge to fill the gaps. This is complexity too, even if it's invisible to software vendors.
The result is that many SMBs are running genuinely complex operations through a patchwork of tools that were each designed for someone simpler.
Why "Simple" Software Creates Its Own Complexity
The appeal of lightweight SaaS is real. Quick setup, low upfront cost, no technical team required. For businesses with genuinely straightforward operations, these tools work well.
The problem arises when a business with complex workflows chooses a simple tool because of its size, not its needs. What follows is predictable.
First come the workarounds. The software doesn't support a particular exception, so someone handles it manually. A spreadsheet appears. Then another. The manual process becomes load-bearing infrastructure.
Then come the integrations. No single tool covers everything, so platforms get connected. Some of those connections are fragile. When something breaks, it's not always obvious where. Someone has to own that fragility.
Then the business starts adapting to the software. This is the subtlest and most damaging outcome. Instead of the tool serving the operation, the operation reshapes itself around what the tool can do. Decisions get made based on what the software supports, not what the business needs. The competitive differentiation that made the business valuable quietly erodes.
Then the costs arrive. Tier upgrades. Add-ons. Workaround tools that each carry their own subscription. What began as an affordable simple solution has become expensive and complicated.
None of this is the fault of the software vendors. They built what they built for the customers they designed for. The issue is the mismatch, and the advice that led a complex business to a simple tool in the first place.
What Has Actually Changed in 2026
The build vs buy conversation has shifted meaningfully in the last few years. The headline story is that building has become more accessible. But the full picture is more complicated than that, and SMB leaders deserve to understand both sides of it.
Development costs have fallen, but the reasons matter
AI has fundamentally changed how software is written. Skilled developers working with AI tools can produce in days what previously took weeks. Prototypes that once required a team can be spun up by a single person. For SMBs, this means custom software is no longer the exclusive domain of well-funded startups and enterprises. The entry price has come down significantly.
That said, lower cost to create is not the same as lower cost to own. A piece of software that was built quickly still needs to run reliably, be updated as your business changes, and be understood by someone when something breaks. The cost of maintenance, over a three-to-five year horizon, often exceeds the cost of initial development. That hasn't changed.
The "vibe-coding" risk is real
A new risk has emerged alongside AI-assisted development that is worth naming directly: software built without adequate engineering rigour. In the industry, this is sometimes called "vibe-coded" software. Code generated rapidly with AI assistance by someone who moves fast but doesn't fully understand what has been built beneath the surface.
The result can look functional for months. Then something breaks, or a requirement changes, and the person who built it can't explain what the code does, let alone fix it. There is no documentation. There is no test coverage. The logic is tangled in ways that made sense to an AI generating it line by line, but that no human can easily navigate.
For small businesses, this is a genuine danger. When evaluating a build option, whether through an internal resource, a freelancer, or a development partner, the right questions are not only "how fast can this be built?" but also "who will maintain it, and how?" A custom system with no maintainable codebase is a liability with a delayed fuse.
Vendor dependency risk has become more visible
The SaaS landscape of the past several years has been instructive. Prices have risen. Products have been discontinued. Features have been quietly moved to higher tiers or behind add-on fees. Platforms have been acquired and then repositioned for a different customer. Businesses that built their core operations around a particular vendor have sometimes found, with little warning, that the product they relied on no longer works the way they need it to.
Understanding your vendor exposure matters here. When a critical workflow depends entirely on a single vendor's pricing decisions, your operational resilience is limited in ways that don't appear on any balance sheet.
Custom software can become a competitive advantage, if it's built well
When building was expensive and slow, most SMBs couldn't afford to differentiate through software. They used the same tools as their competitors and competed on other dimensions. That constraint has loosened.
A workflow that is genuinely designed around your operations, rather than a generic approximation of them, is harder to replicate. A customer experience built around your specific service model is more distinctive than one assembled from the same off-the-shelf components your competitors also have access to. The caveat is always quality: a well-built custom system compounds over time, while a poorly built one degrades.
The hybrid model has matured
The choice is no longer binary. Most businesses that navigate this well land somewhere between full custom development and pure SaaS. They build the parts of their operation that are unique and differentiating, the workflows that no generic product handles well. They buy the parts that are genuinely generic: accounting, email, calendar, standard HR functions. The judgment is about which is which.
How to Think Through the Decision
No framework applies universally, but the following questions tend to surface what matters.
Where does your business create value that is genuinely different?
If that differentiation runs through specific workflows or customer interactions, those are the areas where building deserves serious consideration. If your operations are largely standard for your industry, the case for buying is stronger.
What are you actually paying for workarounds?
Not just in subscription costs, but in staff time, errors, and the cognitive load of maintaining manual processes. This hidden cost is often what tips the calculation, and it rarely appears in a direct comparison of licensing fees.
What is your real vendor exposure?
If a key platform raised prices by 40%, deprecated a feature, or was acquired and repositioned tomorrow, what would happen to your operations? That risk has a cost, even when nothing has gone wrong yet.
Who will own and maintain what you choose, whether build or buy?
This question is usually framed as a risk of custom development, but it applies with equal force to heavily customised SaaS. A platform configured over years by a single administrator, extended with custom integrations, and built around undocumented tribal knowledge carries exactly the same fragility as poorly maintained custom code. When that person leaves, or when the vendor changes something fundamental, the business discovers how much institutional knowledge was never written down. Before committing to either path, be clear about who will maintain the system, how changes will be managed, what happens when key people leave, and whether it is documented well enough for someone new to take over.
What does your trajectory look like?
A tool that fits your current operation may constrain you in two years. A system that requires adaptation today may be costing you more than the subscription fee. The decision should account for where you're going, not only where you are.
A practical starting point is to map your five or six most important workflows in detail: the steps, the exceptions, the handoffs, the parts that require manual intervention. Then evaluate how well your current or candidate tools support each one. Where the gaps are significant and recurring, you have a case for building. Where the gaps are minor or the workflows are genuinely standard, buying is likely the right answer.
The Broader Point
The advice that small businesses should find the simplest possible software and adapt to it was reasonable when the cost of doing otherwise was prohibitive. That cost has changed, and the calculus deserves to be revisited.
At the same time, the new accessibility of building software comes with its own risks. Faster and cheaper development is genuinely valuable, but only when the result is something that can be maintained, understood, and evolved. Speed without rigour produces technical debt with an optimistic face.
What matters in 2026 is making a deliberate choice: understanding what your business actually needs, being honest about the hidden costs on both sides, and resisting the pull toward whichever option seemed easiest at the start.
Small doesn't mean simple. Complex operations deserve technology designed around their actual needs. The businesses that figure that out and invest accordingly, whether by building well or buying wisely, tend to find the investment pays back in ways that go well beyond the original problem they were trying to solve.
This post reflects observations from working with small and medium businesses on technology decisions. It has been written by Ambra Curetti and polished by Claude.
Every business and use case is different: assess your specific situation and consult with relevant experts before making significant technology investments. Curintech is here to help.



