Ask most founders what broke first when they started scaling and you’ll get some version of the same story. Not marketing. Not sales. Not even hiring, though that’s always a mess. It’s the tech. Or more specifically, it’s the accumulated weight of tech decisions that made complete sense at the time and stopped making sense about six months ago.

I find this genuinely interesting because it’s so predictable and yet almost nobody plans for it.

1. Buying Software Like It’s a Substitute for Having a Plan

I know a company – well, I know of one, through someone I used to work with – that hit about $4 million in revenue and responded by signing up for roughly eleven new SaaS tools in a single quarter. Not because they did a proper audit and identified gaps. Because different people in different departments kept pitching solutions to their individual problems and nobody was saying no.

The result, predictably, was chaos. Three tools doing overlapping things. Data living in four different places. An integration bill that was quietly eating into margins.

Software feels like progress. That’s the trap. Buying something new is concrete, immediate, satisfying in a way that actual process work isn’t. But tools don’t fix unclear processes. They just make the unclear processes slightly more expensive.

Worth noting too: this is exactly the moment vendors target. Growth phases are their hunting ground. Budgets are looser, scrutiny is lower, and there’s always someone in the building who’s willing to champion a new platform. Not cynically, just – be aware of it.

2. The Strategy-to-Tech Disconnect (Which Is Usually Invisible Until It Isn’t)

Here’s the one I think does the most quiet damage.

Most growing companies make technology decisions and strategy decisions in completely separate conversations. The exec team figures out where they want to take the business. Then, separately, someone figures out what systems can support that. There’s a reason research from MIT Sloan Management Review on strategic alignment keeps landing on the same finding: businesses where purpose and infrastructure aren’t pointing in the same direction consistently underperform the ones where they are.

This is partly why enterprise architecture as a practice exists at all – it’s essentially a discipline for making that connection visible and intentional rather than accidental. I’ll be honest, it’s the kind of thing that sounds abstract until you’ve watched a company spend a year building toward a goal their systems couldn’t actually support. Then it sounds pretty obvious.

The companies that do this well are treating technology as a strategic input, not an operational afterthought. And yeah, that requires a different kind of conversation between leadership and whoever owns the tech side. Harder to have. Worth having.

3. The “Rip It Out and Start Over” Reflex

Something stops working. Or feels like it’s stopping working. And the instinct – almost universally – is replacement. New platform, new vendor, clean slate.

I’m pretty skeptical of this, at least as a first response.

In my experience the underlying problem is rarely the tool itself. It’s usually a combination of bad configuration, unmaintained integrations, and processes that were never properly documented in the first place. You migrate everything to a new system and, about eight months in, you realize the new system has exactly the same issues. Because the processes came with you.

Auditing what you have is slower and less exciting than buying something new. It requires someone to actually sit with the systems, understand what they’re supposed to do, and figure out what’s actually failing versus what just feels broken. Nobody wants that project. But it almost always turns up a more useful answer than a replacement would have.

Side note: systems that connect properly to your financial reporting tend to meaningfully improve financial decision-making – which sounds obvious, but you’d be amazed how many companies are running disconnected stacks and then wondering why their numbers feel opaque.

4. Rolling Out New Systems Like the Team Has Nothing Else Going On

This one I’ve seen go badly so many times.

Company decides to implement something new. There’s a kickoff meeting, maybe a demo, a training session that runs 45 minutes and covers maybe a third of what people actually need to know. Then the system goes live and adoption is… fine. Technically. But half the team has reverted to spreadsheets within six weeks because the spreadsheets are faster and nobody is actually checking.

The people making implementation decisions are almost never the people who have to live with the systems day-to-day. That gap creates a specific kind of blindness – an assumption that if the tool is good, adoption will follow. It often doesn’t.

What actually works, as far as I can tell: treating the rollout like an internal communications campaign. Explaining the why before the what. Finding genuine advocates within the team, not just assigned ones. Accepting, upfront, that it’ll take longer than the project plan says.

Not complicated. Consistently underestimated.

5. Waiting Until the System Is Failing to Think About What Comes Next

A McKinsey analysis of how growth leaders outperform found something that stuck with me: the companies that consistently pull ahead build capabilities before they need them, rather than scrambling to catch up. That applies directly to infrastructure.

Systems that work at 20 people often start groaning around 75 and break somewhere around 150. That’s not a failure of the original choice. It’s a failure to revisit it. The company that waits until something breaks is always starting from a worse place than the company that made this a regular conversation – six months ago, twelve months ago, before the pressure was on.

The fix is almost insultingly simple. Just ask, regularly: would our current systems hold up at twice the volume? If you’re not sure, that uncertainty is worth addressing. Probably before it becomes urgent.

I don’t have a tidy conclusion for this because I don’t think there is one. The common thread across all five of these is just – bringing the same intentionality to technology that you’d bring to any other part of the business. Which sounds obvious. And yet.