Build or Buy in Operations: COOs Share the Decision Rule That Pays Off
The build-or-buy decision can make or break operational efficiency, yet many leaders lack a clear framework for choosing wisely. This article draws on insights from experienced Chief Operating Officers who have wrestled with this question across industries and company stages. Their practical decision rules cut through the noise and focus on what actually drives business value.
Build Your Competitive Edge
Decide build vs. buy by asking three questions.
1. Is this capability core to our competitive advantage?
2. Can an off-the-shelf solution meet our requirements with minimal customization?
3. What is the total cost of ownership over three years, including maintenance and integration?
We use a simple threshold. If the capability is not core to our business and the external solution covers at least 80 percent of our needs out of the box, we buy. If it requires heavy customization or touches our secret sauce, we build.
A clear example made this choice obvious for us. We needed a project estimation tool to predict timelines and resource needs. Off-the-shelf solutions were generic and did not account for our specific development workflows, team skill levels, or historical project data. We could have bought a tool and customized it heavily, but that would have taken months and still would not fit perfectly.
We chose to build our own internal AI estimation model. We trained it on data from over 800 past projects. It now predicts timelines with about 85 percent accuracy. That tool has paid off significantly. It reduced budget overruns by nearly half and helped us win more enterprise deals because our quotes match actual spend within five percent. In the first year alone, it saved us over 200 hours of manual estimation work and prevented at least three major cost overruns.
The lesson is clear. Buy when the problem is common and the solution is mature. Build when the capability gives you a measurable competitive edge that no vendor can replicate.
Create Unique Client Safeguards
The rule is straightforward. Any AI workflow or feature we offer clients that competitors are not doing, we build in-house. That becomes our USP. Anything a client could get from any other GEO platform, we outsource or buy off the shelf.
The human verification layer was the clearest example. Every competitor was running AI recommendations and pushing them straight to clients. We built a layer where our AISO experts review every agent output before it reaches the client. No one else offered that. It became the reason clients trusted our recommendations over automated-only platforms.
That one in-house decision is now one of our three core differentiators.
Let Manual Work Set Priorities
By the time somebody has built a spreadsheet that does the job, the decision has been made without anyone calling it one. That spreadsheet is the real signal at our size. We are around 60 people, fully remote, so nothing gets built unless somebody is already doing it by hand weekly.
The threshold I use is roughly 8 hours a month of somebody's time. Under that, buy the thing or keep doing it by hand. Over it, build the smallest version that works, but only if no vendor would recognise the process. The last thing built here was an internal tracker that 4 people use.
The failure mode is building because building feels like ownership. You end up maintaining a product nobody outside the company would pay for. The operations lead here keeps a list of every tool anyone asked to replace and reviews it quarterly.
Demand Measurable Economic Returns
When an operation needs a new capability, I decide by whether the use case can be expressed in unit economics and can show an early economic signal. My threshold is concrete: for example, in a service operation I ask if an AI assistant will reduce average handle time by 20% or raise first contact resolution by 5% so that required FTEs per 10,000 tickets falls. If the math demonstrates measurable margin lift and directional ROI within one or two quarters, we move forward with the option, build or buy, that achieves those economics fastest and at lowest total cost. That rule clears ambiguity and keeps investment focused on capabilities that deliver real cost avoidance rather than abstract benefits.
Protect Your Core Product Loop
I'm Runbo Li, Co-founder & CEO at Magic Hour.
The decision is simpler than people make it. If a capability touches your core loop, the thing users come to you for, you build it. If it doesn't, you buy it and move on. The minute you start custom-building your billing system or your email infrastructure, you're burning cycles that should go toward the product. But if you outsource the thing that makes you *you*, you've handed your differentiation to a vendor.
Here's how this played out for us. Early on, we needed a way to orchestrate AI video generation at scale, queuing jobs, managing GPU resources, handling failures gracefully. There were off-the-shelf orchestration tools we could have stitched together. But video generation orchestration *is* our product. The latency, the reliability, the way we route workloads across different model backends, that's what determines whether a user gets their video in 30 seconds or 5 minutes. We built it ourselves. It took weeks of intense work, but it gave us direct control over cost, speed, and quality. Today that system handles millions of generations, and we can tune it at a level no third-party tool would allow.
Contrast that with payments. We use Stripe. We didn't think about it for more than ten minutes. Payments are table stakes. They need to work, and Stripe makes them work. Every hour we would've spent building payment logic is an hour stolen from the thing our users actually care about.
The threshold I use: if a vendor's limitations would eventually force you to migrate anyway because your needs are too specific, build it now. Migration cost compounds. If a vendor can serve you for years without friction, buy it today and reclaim that engineering time.
Two people built a platform with millions of users. That only happens when you're ruthless about where your time goes. Build the moat, buy everything else.
Build Capabilities That Teach Teams
We look at whether a capability creates lasting knowledge. Some tools help us finish a task, while others teach our team something each time they are used. When a capability improves our understanding of risk, margin, or customer behavior, we prefer to build. When it mainly offers basic utility, we prefer to buy.
A strong example came when we reviewed a workflow with recurring issues. Buying seemed cheaper at first, but it would have kept the logic outside the team closest to the problem. We built instead and learned more about the patterns behind those issues. Over time, the capability improved how we recognized problems and responded to them, giving us better judgment and more lasting operational gains.
Reserve Custom Work for Client Value
My rule is to buy anything that is somebody else's whole product, and to build only where the process itself is what clients are paying for.
Analytics, hosting, keyword data, ad platforms, project management. All bought, none worth building, because a vendor with a hundred engineers will beat anything a small agency assembles on a Friday afternoon. The threshold I use is whether we would have to change how we work in order to fit the tool. If the answer is yes, and the way we work is a reason clients chose us, that is the point where buying quietly costs more than it saves.
The second threshold is maintenance rather than price. A licence fee weighed against the days it would take to build the equivalent tells you almost nothing. What matters is who fixes it at nine on a Sunday evening when a client report is due. If the answer to that is me, buy it.
Where we did build was the layer that turns bought data into our own analysis. Four platforms in, one output out, in a shape nobody sells because it is an opinion rather than a dashboard. That took a fortnight to make and it removed around 6 hours a week of assembly across the team.
The example that made the rule obvious was pricing a fourth subscription to solve a reporting problem that turned out to be inconsistent naming in our own spreadsheets.
Keep Conversion Logic Close
The threshold is simple. If a capability is why someone picks us over a competitor, it stays in-house. If it's infrastructure everyone needs and nobody wins on, I buy it and move on. For a voice AI operation, the call logic and the qualification questions are the product. I don't outsource how the agent decides a lead is real. That logic changes weekly based on what actually converts, so it has to stay close. Telephony is different. So is calendar sync. Neither is worth reinventing when a carrier has already spent years getting call routing right. Same with the 500-plus tools a home service business already runs on. Connecting to those is plumbing. The example that made this clear was time. Maintaining a CRM connector eats an hour that could go into how the agent talks to a homeowner.
Acquire Expertise Before Growth Outpaces Teams
A useful threshold is whether the capability must scale faster than the team can learn it. In application security, many organizations can eventually build strong internal practices, but not on the timeline demanded by growth, customer scrutiny, and compliance expectations. When the business needs reliable outcomes before internal maturity catches up, buying is often the more disciplined choice rather than a shortcut.
I watched this play out with a company moving upmarket. Security had shifted from a technical concern to a revenue conversation because prospects wanted assurance that engineering decisions would hold up under review. The internal team was capable, but still developing the muscle to translate risk into evidence. Bringing in outside depth paid off by accelerating readiness, reducing avoidable rework, and preserving trust without forcing development into a slowdown.
Prototype Before You Purchase
My threshold is a person, not a price. We build the thin version of a new capability ourselves, on purpose, to find out what we need. Then the day that homemade thing has exactly one person who understands it, we buy the real one.
The rule came out of a spreadsheet. We needed a recall system, so our practice manager built one, and it beat everything we had been quoted, because she knew the workflow and no vendor did. It ran for well over a year. Then she took two weeks off and nobody could tell me who was due for what, because the logic lived in her formulas and her head. What had been an asset was now a single point of failure with a name on it.
We bought a proper module the following month, and the buying went quickly precisely because we had run the homemade version first. We knew which fields mattered, which reports we would use, and which demo features we would never touch. It went in with roughly 80% of the configuration decided before the first call with the vendor.
Building first is not waste if you count it as research. Buying first without it is how small practices end up paying every month for software shaped like somebody else's clinic.
Outsource Constantly Changing Systems
My threshold has almost nothing to do with cost. It is this. Does the thing have to keep changing because the outside world changed. If it does, buy it, however simple it looks today.
You never build that kind of capability once. You sign up to maintain it forever, and the invoice arrives every time a rule moves, a provider deprecates something, or a browser behaves differently. Payment handling, email deliverability, identity checks, signing. All of them look like a couple of weeks of work, and all of them are a permanent seat on your team that you can never remove.
The flip side is that anything which does not change unless we decide to change it is fair game to build, and if it is also the reason customers pay us, we have no business buying it. The transaction workflow is our product, so we build every inch of it.
Signing is the example that paid off. We could have built our own flow. For over 10 years we have integrated somebody else's instead, and in that time expectations around audit trails and identity have moved more than once. Every time they moved, another company did the work while we shipped the thing brokerages pay us for.
The way I put it to founders is that a subscription is something you can cancel. A build is a hire you can never fire.
Start With Off-the-Shelf Software
We usually prefer to buy software off the shelf before deciding to build anything in-house.
The biggest reason is time, opportunity costs and then ongoing maintenance costs.
If we can get a MVP up and running in a week for a low monthly fee instead of a month or two, I'll take the MVP in a week every time.
Even a $500–$1,000 monthly software bill looks pretty cheap once you compare it to the time it takes to build the solution and having an employee spend hours every month maintaining something you built yourself.
For us, we've only built internal tools when the external options were not cost effective, which AI has helped tremendously in that regard. E.g. we used to use Typeform, but with AI tools now, we can spin up a custom form in minutes.
I know larger companies can make it worth it to claim R&D tax credits. Which I'm sure factors into their decision as to whether to build or buy. We are not at the scale where that drives our decision.
Additionally, I know public companies face a higher level of scrutiny and therefore, they can't just test some random software provider for a month and therefore they tend to build instead of buying to ensure each component is up to their internal spec.
For us, our rule is pretty simple: buy first, learn what we need, and only build once we know exactly why the off-the-shelf options are not good enough.
Own What Wins Customers
My rule is that we build the things that are our actual edge and buy everything else. If a capability is part of why customers choose us, it has to be ours, even if it's harder. If it's necessary but nobody picks us because of it, paying someone who does it better than we ever would is almost always the smarter call. The mistake is building something generic in-house out of pride and sinking your best people into a problem a vendor already solved.
The example that made it clear was the AI notetaker. We could have built our own transcription, but transcription is a solved problem that specialists pour huge resources into, and us reinventing it would have pulled the team off the parts that are genuinely ours—the matching, the BD side. So we built the pieces that are our edge and bought the transcription underneath. The threshold I use is simple: if being better than average at this doesn't win us a single customer, buy it.
Reduce External Dependency Risk
I evaluate build versus buy through dependency risk. If too much institutional memory sits outside the company, growth starts depending on someone else's priorities, staffing, and interpretation. That is manageable for isolated tasks, but dangerous for capabilities tied to quality assurance or partner communication. The threshold comes when losing one external relationship would force broad operational rewiring across teams and timelines.
A defining example involved performance review logic used to assess what was actually moving visibility over time. External input provided coverage, yet the reasoning behind decisions stayed fragmented. Building that competency internally improved accountability, sharpened decision speed, and gave agencies a more stable framework for long-range planning.
Retain Customer Insight Internally
Buy what you already understand. Build what you are still learning from.
The usual framing is cost, and cost is the least useful input. The question I ask is whether the capability is a source of information about our customers, and whether we would notice if it quietly got worse. If it teaches us something, we own it. If it is a solved problem that other people do at scale, we rent it and stop thinking about it.
That is why fulfilment sits with an outside partner. Picking, packing and shipping is a solved problem, done better by people with warehouses and negotiated carrier rates than by a small brand pretending to be a logistics company. On paper we could run it about 15% cheaper per order ourselves. We would also be spending our attention on it, and no customer has ever bought from us because of who taped the box.
Customer conversations went the other way. Outsourcing support was cheaper and we tried it, and the work that came back was competent and answered against the wrong brief, because the supplier had no way of knowing what mattered to us. Every insight reached us through somebody else's summary first.
The threshold I would offer is that one. Capability that feeds your judgement stays in house, whatever the invoice says.
Let Adoption Validate Custom Tools
We spent millions on software like Salesforce and ended up using Excel anyway. It took me embarrassingly long to see the pattern: everyone excited at the demo, and cut to six months later with 0 people actually using the tool. Our space, managing relationships between the Navy and private companies, is a niche. Hence, off-the-shelf software rarely fit our workflow. And when a tool is a misfit, people just open a spreadsheet instead of complaining.
Last year we tried building our own tools. It started as an experiment to build a tool for the Navy to coordinate ANTX CT 2026, an event with hundreds of companies and thousands of moving parts. It exceeded our expectations—a year later people still use it.
We have built more tools since, and that became our test: do people keep using it without being pushed to? If we have to force adoption, we got it wrong, and we do things differently the next time.
AI is what made this practical—building is much cheaper than it used to be, experimentation is possible and feasible. Maintenance of custom tools, still a headache, is getting easier with newer models. There was also a side effect I didn't expect: fewer people needing access to fewer systems, which makes our data much easier to control.
One of these tools worked well enough that we now sell it to other companies. It's called Outrider.app. That wasn't the plan. But it's a pretty good sign you should be building.
Invest Where Value Compounds
My threshold is whether the capability is the thing customers pay us for. If it is, we build it. If it merely has to exist, we buy the least annoying version and stop thinking about it.
Accounting, email, helpdesk, shipping labels—none of that is why anyone chooses us, so we buy and accept the compromises. Knowing which cable fits which car is the entire reason a customer trusts our site, so we built that ourselves and maintain it by hand.
The version we could have bought was a generic vehicle compatibility plugin at about £400 a month. It knew models but not the detail that matters, such as which trim shipped with which port, or where a car limits charging speed regardless of the cable. Buying it would have given us a fitment tool that was wrong often enough to destroy the trust the tool was meant to create.
The payoff was not in the tool. It was in what the data let us do afterwards. The same table drives the product pages, the support replies and the filters, so a correction made once shows up everywhere.
The other half of the threshold is compounding. If the work gets more valuable every year you keep doing it, build. If it is worth the same forever, somebody has already built it better and cheaper than you will.
Delegate Generic Operational Infrastructure
The threshold I use is ownership cost over time, not upfront cost. Building in-house looks cheaper in the first month and gets expensive the moment the person who built it leaves, gets busy, or the process needs to scale. Buying from an external provider looks more expensive upfront and is often the only way to get a capability that is reliable on day one.
At I Need A VA, where we place virtual assistants, social media professionals, and operations staff into businesses that are scaling fast, this exact decision shows up constantly, and I use one question to sort it: is this capability core to what makes us different, or is it infrastructure everyone needs regardless of who they are? Core capabilities get built in-house, because that is where our judgment and differentiation live. Infrastructure gets bought or delegated to a trained specialist, because reinventing it internally is a distraction dressed up as control.
The example that made this threshold clear for me was our own operations tooling. Early on, I tried to build our internal scheduling and client communication systems myself, from scratch, because I did not want to pay for something generic. It cost me months of founder time on a problem that was never going to differentiate our business. The moment I bought an existing platform and put a trained operations person on top of it instead, we scaled faster and I got that time back for the parts of the business only I could grow.
The threshold that paid off: if a capable outside provider or a well-trained person can deliver it to spec, and it is not the thing clients are actually paying us for, buy it and free up your best people for the work that is genuinely yours to own.
Brittany Bettini, Founder & CEO, I Need A VA
Count Maintenance Before You Commit
Buy the capability that everyone in your industry needs and nobody chooses you for. Build the part clients are actually paying you for. That sounds obvious until you're in the middle of it, when building feels cheaper than a subscription.
I built the first version of our platform myself, and our first year ran on it. That was the right call, because the dispute resolution workflow was the product. But we didn't extend it into everything. For support and ticketing we picked up Freshdesk instead, because no client has ever chosen us for the quality of our ticket queue.
The threshold I'd apply is upkeep rather than price. A licence fee is visible every month and easy to argue about. The cost of maintaining something you built shows up quietly as your engineers' time, and it never stops. If an off-the-shelf tool covers most of what you need, and the missing bit isn't what makes you different, buy it and put the saved attention where it does count.
Build Only What the Market Lacks
I default to buying. Building looks cheap on the day you decide and expensive every day after, because you own it forever.
The line I hold is whether the capability is the thing customers are actually paying us for. Anything supporting that work, we buy. Payments run through Stripe. We integrate with the CRMs nonprofits already use rather than trying to become one of them. That is somebody else's craft.
The one time buying was not an option is the reason Pledge It exists. While I was running a nonprofit, I used every fundraising platform on the market, and none of them could handle performance-based fundraising, where a donor pledges against something an athlete actually does, like a dollar a mile. I was not trying to start a software company. I needed the tool for work we were already doing, so we built it for ourselves first. That became the platform.
So the threshold is honest searching. If you have genuinely looked and it does not exist, build it. If it exists and you would simply rather have your own version, that is a preference, and preferences get expensive.
Own the User Experience Layer
The threshold is simple: we build what touches the user, and we route everything else to the people who already ship it best.
At Nika Finance, we built the interface, the wallet, the cross-chain plumbing, and NikaAI, the layer that lets users express intent in plain language while the app handles execution underneath. Those are the parts that differentiate the experience. Everything else routes to infrastructure partners who have already solved the hard problem at scale.
Perpetuals is the clearest example. We could have spent 18 months building a matching engine from scratch, hiring specialized talent, solving latency and liquidity depth problems that take years to get right. Or we could route perpetuals through Hyperliquid via builder codes and deliver matching-engine parity with the best perps in the industry from day one. We chose the second path. Same decision for prediction markets: we route to Polymarket rather than build an oracle stack and market resolution infrastructure in-house.
This is the orchestrator model. The consumer app owns the surface the user sees and the connective tissue underneath. The specialized infrastructure partners own the primitives. A three-person team shipping five product lines in a single interface would be impossible under the monolithic model. It works because our internal engineering surface is narrower than what users see. The rest routes.
The payoff is speed and feature parity with no engineering debt. We shipped perpetuals and prediction markets without building the stacks that power them, and the user experience is indistinguishable from apps that did. That decision let us focus engineering time on the parts that actually differentiate: the interface, the AI layer, and the non-custodial architecture that keeps user keys in the device's secure enclave rather than on our servers.
The rule holds across the product: if it touches the user experience or defines the trust model, build it. If a specialized team already ships it at scale, route to them and own the integration.
Buy Bursts and Own Continuity
I'm on the other side of this decision constantly: companies deciding whether to build a compliance and quality function internally or bring in someone like me, so I've watched the math work and fail plenty of times.
So the way I see it, if you'll need the capability continuously, build it; if you need it in bursts, buy it. Certification is a burst. Getting a management system built and through an initial audit is intense for nine months, and then it isn't. Hiring a full-time quality manager to do that means paying year-round for work that's seasonal, and small manufacturers frequently do it, then find the person underemployed in year two.
But maintaining that system afterward is continuous: internal audits, corrective actions, supplier evaluations, keeping records current. That's someone's ongoing job, and it should be internal. So the honest answer I give clients is: buy the build, own the maintenance.
The failure mode I see most is buying the capability and never absorbing it. A consultant builds the system, leaves, and nobody inside understands why it's structured the way it is. Then it decays and they re-hire someone eighteen months later. If you buy, require knowledge transfer as a deliverable and name who's receiving it.
Match Software to Service Delivery
I understand the appeal of building something yourself, but I also know how much work sits behind even a relatively simple piece of software once you have to maintain it properly.
For me, the question is usually how closely the capability is tied to the way we actually do our work.
A good example at CYLL is our audit information request system. Audit involves a lot of supporting documents, follow-up questions, and back-and-forth with clients. We wanted one place where both our team and the client could see what had been requested, what had already been uploaded, and what was still outstanding.
That workflow is quite specific to how we run an audit, so having an in-house system made sense for us. It also means we can structure the process around the information our audit teams actually need instead of changing the way we work to fit a generic tool.
On the other hand, I wouldn't build something internally simply because we can. If there is already a reliable product that does the job well and the capability isn't particularly specific to our business, buying it is usually the more sensible choice.
The point where I start leaning towards building is when the software needs to reflect how we actually deliver the service, rather than just support the business in the background.
Keep Values-Driven Decisions Internal
The threshold that matters most is whether the capability requires values-based tradeoffs rather than pure efficiency. Buying works well when success is easy to measure and the vendor can outperform on cost or speed. Building matters when each decision balances margin, compliance, evidence quality, and long-term trust under limited resources.
A clear case was conversion optimization. Many external operators can lift short-term sales, but in wellness they often test urgency, certainty, or oversimplified benefit framing that creates hidden costs later. I kept the strategy internal because the real objective was profitable retention, not isolated conversion spikes. That choice paid off through cleaner customer intent, lower dissatisfaction, and growth that did not depend on stretching the science.
Test Economics Before You Choose
I evaluate build-versus-buy decisions across four dimensions: strategic differentiation, time to value, total cost of ownership, and long-term control. I generally buy when the capability is standardized, a provider can satisfy most critical requirements, and faster deployment outweighs customization. I lean toward building when the capability directly shapes the customer experience, depends on proprietary workflows or data, or is likely to evolve faster than a vendor can support.
A practical threshold is whether customization, integration, and recurring vendor costs would approach the three-year cost of owning the capability internally. At that point, building can provide better economics and flexibility. Before committing, I validate the decision through a limited pilot, measuring adoption, operational effort, performance, and switching risk rather than comparing license cost alone.
