The Economics of Build vs Buy

The math changed.
Most companies missed it.

For decades, buying software was cheaper than building it. That was true, until AI collapsed build timelines from months to weeks. Now, the real cost isn't building. It's buying generic software and bending your business to fit it.

The old equation vs. the new reality
6–9 months • large teams • variable quality 6–8 weeks • small teams • consistent quality

Not everything should be built.
Not everything should be bought.

The build vs buy question was never meant to be one-size-fits-all. There are three kinds of business systems, and each one demands a different answer. Most companies get this wrong because they apply the same logic to all three.

Three kinds of systems. Three answers.

The mistake most enterprises make is treating all technology decisions the same way. Payroll and your competitive edge are not the same kind of problem; they shouldn't get the same kind of solution.

Buy

Commodity Systems

Systems of Record

These run your business but don't differentiate it. Everyone needs them. Nobody wins because of them. Off-the-shelf is the right call.

Think: Payroll, email, basic HR, accounting, CRM basics
Build

Differentiation Systems

Systems of Differentiation

These are where you create competitive advantage. If you buy generic software here, you're literally buying the same capabilities as your competitors.

Think: Pricing engines, risk models, customer experience, supply chain optimization
Build

Innovation Systems

Systems of Innovation

These don't exist yet. No vendor sells what hasn't been imagined. If differentiation is the entire point, building is the only option.

Think: New business models, AI-native products, market-creating capabilities

Gartner predicts that by 2030, 40% of enterprise applications will be custom-built using AI-native platforms, up from just 2% in 2025. The shift isn't coming. It's here.

Gartner Research, 2025

Building used to be slow and expensive.
Not anymore.

The economics that made "buy" the default answer for 20 years were based on a specific reality: building took too long, cost too much, and quality was a gamble. AI-native platforms changed all three at once.

The old reality

Building was a bet

4–6 month cycles. 4–6 weeks just for teams to understand your business. Quality depended on which developers you got. If they left, the knowledge left with them. Building meant risk.

The new reality

Building is a system

6–8 week cycles. Less than a week to full context, because the platform remembers. Quality is consistent because it's encoded, not personal. Knowledge compounds. Building means advantage.

75%
Faster to production
6–8 weeks vs 6–9 months
85%
Less ramp-up time
<1 week vs 4–6 weeks
60%
Productivity improvement
AI-native engineering
90%+
Consistent code quality
Systemic, not luck-based

Same outcome. Different economics.

Traditional development vs. Compounding Build
Time to production
Traditional
4–6 months
Compounding
6–8 weeks
Team ramp-up
Traditional
4–6 weeks
<1 wk
< 1 week
Code quality
Variable
Depends on staff
>90% consistent
>90% consistent
2nd project cost
Same or higher
Starts over
Significantly less
Compounds down
Knowledge
× Resets every engagement
Compounds across engagements
Quality
× Depends on who you get
Systemic and consistent
Starting Point
× Every project from zero
Every project builds on the last
Best Practices
× Stored in presentations
Running in production code
What You Pay For
× Time spent
Outcomes delivered
When People Leave
× Knowledge walks out
Knowledge stays in the system
The question is no longer
can we afford to build?
It's can we afford not to?

The new economics of enterprise software

A simple way to think about it.

Ask one question: does this system give us a competitive edge? If the answer is no, buy it. If the answer is yes, build it. If the answer is "we're not sure yet," that's usually a build.

Payroll, email, basic CRM
Everyone needs it. Nobody wins because of it. Don't spend engineering time here.
→ Buy
Pricing, risk, customer experience
This is where your advantage lives. Generic software means generic results. Build what matters.
→ Build
New business models, AI products
If it doesn't exist yet, no vendor sells it. Innovation is always a build.
→ Build
Complex integrations, hybrid needs
Sometimes you need a commercial foundation with custom intelligence on top. That's a blend.
→ Blend

What "off-the-shelf" actually costs

When you buy software for something that should be your competitive advantage, you don't just get a product. You get constraints. Your processes bend to fit the vendor's design. Your team spends months in implementation and customization. Your roadmap becomes their roadmap.

And here's the part nobody talks about: your competitor bought the same software. You've just paid to guarantee you won't be different.

The hidden costs add up fast: license fees that increase annually, customization that takes longer than building, vendor lock-in that limits your options, and the opportunity cost of conforming your business to someone else's idea of how it should work.

For commodity systems, that's a fine trade-off. For the things that make you competitive? It's a trap.

Build Smarter

Ready to build what matters?

Kaara's Compounding Build model makes building faster, cheaper, and smarter with every engagement. Your first project takes weeks, not months. Your second takes less.

Talk to Kaara