Build vs Buy for SaaS and RevOps Tools in the AI Era
Build narrow go-to-market tools such as a CPQ or territory planner, and buy your systems of record. A seven-question scorecard, three worked examples and the objections that still matter for RevOps and GTM teams in 2026.
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Build narrow go-to-market tools, such as a CPQ, a commission calculator or a territory planner, and buy your systems of record, meaning the CRM, the ERP and the marketing automation platform. AI coding tools have made narrow tools cheap to build, but a system of record still carries integration, compliance and maintenance work that rarely pays back.
That is our position at Revenue Wizards. For the core platforms we are firmly on the buy side. For the narrow, rule-based tools around them, building has become the better deal for more teams every quarter.
Why the build vs buy debate changed
The biggest debate in SaaS right now is whether to buy tools or build your own. Proponents of building point to large cost savings. Opponents say it is risky and that you will not be able to maintain what you build.
Since I started working in tech, I have been surprised by the margins of some SaaS companies. SaaS Capital reports that gross margins on SaaS licence revenue are generally 80% to 85% across its portfolio and annual survey (SaaS Capital). Many vendors reinvest heavily in growth, so profits are thinner, but each extra user costs the vendor very little to serve. A rational buyer has to ask why they are paying for that.
They pay for value, or perceived value. A CRM makes a sales organisation far more efficient than a spreadsheet. A marketing automation tool automates the repetitive work. A CPQ helps with quoting. Teams argue, rightly, that these tools free time for higher-value work, and that is why they pay the premium.
AI challenges that paradigm. Many people can now build an equivalent tool, or a tool that fits their exact use case, at a fraction of the cost. When that is true, the value argument for the SaaS premium erodes.
Our own data shows how far this has gone. In our RevOps in 2026 survey of 123 RevOps practitioners, 61% said they are building their own AI tools. The examples they gave were practical, such as quote-to-cash systems, CPQ, territory and capacity planning, deduplication agents, sales coaches that prepare calls and score deals, and forecast tooling. I expect that share to keep rising as model providers make building easier.
Which go-to-market tools should you build?
There are dozens of go-to-market tools you can build, from a partner portal or a commission calculator to a CPQ tool inside Salesforce or HubSpot (worked example below).
Building selected tools can reduce recurring licence costs, but the savings depend on your current subscriptions, your usage and the cost of building and maintaining the replacement. Use our build-versus-buy calculator to estimate the licensing costs in your own tool stack before you decide.
A build vs buy scorecard for RevOps tools
Answer seven questions for each candidate tool. Each answer points one way.
| Question | Points to build | Points to buy |
|---|---|---|
| Is it a system of record (CRM, ERP, marketing automation)? | No | Yes |
| Is the scope narrow, with clear inputs and outputs? | Yes | No |
| Is the logic specific to how you sell (pricing rules, comp plans, territories)? | Yes | It is generic |
| Does a tool you already pay for do the job? | No | Yes |
| Will a named person own and maintain it after launch? | Yes | No |
| How does the licence cost grow over three to five years? | With every seat you add | Flat or small |
| How bad is a failure (revenue recognition, compliance, customers)? | Low and reversible | High |
Two answers are hard stops. If it is a system of record, buy it. If nobody will own it after launch, buy it or leave it. Otherwise, if five or more answers point to build, spend a week on a prototype and compare it with the vendor's quote on total cost, not licence price.
Our Five Dots RevOps knowledge base frames the cost side the same way. Compare total cost of ownership over several years, including licences, internal admin and engineering time, external help and the productivity cost of the change, not the licence line alone. It also warns against a classic mistake, which is choosing a custom build because engineers happen to be available. Availability today is not ownership for years.
Three build vs buy examples from RevOps
A CPQ is usually worth building inside your CRM. Quoting logic is narrow and yours anyway. Whether you buy a CPQ or build one, you define every pricing rule, approval and threshold yourself. Per-seat licences grow with every new quoter, while a build inside the CRM you already own is mostly a one-off cost plus maintenance. The case weakens if your quoting team is small or your governance is weak. We cover the numbers in our Salesforce CPQ pricing breakdown.
Territory and capacity planning is often worth building. Many teams run this in spreadsheets that nobody trusts. The logic depends on your segments, your capacity model and your data, which is why it shows up in the in-house tools our survey respondents described. A small app on top of CRM data, with a clear owner, often beats both the spreadsheet and a planning suite you would only use once a year.
Conversation intelligence is one to buy. Recording, transcription, CRM updates and coaching are a solved problem with deep vendor investment, and the data already sits in the tool. Our Five Dots knowledge base is blunt about it and says not to rebuild a vertical tool you already pay for. Build the workflow that acts on its output instead, for example routing a competitor mention to the right channel.
What skills and team do you need to build GTM tools?
You need the skills in-house. Tools like Lovable, Claude Code and OpenAI's Codex help you build these tools, and even business users can get far with them, but it is better to have experienced operators doing the building.
I would go further and invest in proper engineering resources that sit inside the Revenue Operations team. I do not mean a go-to-market engineer without coding skills, but a real developer. Those people will save you a lot and build a reliable tooling infrastructure for your commercial team. Where they sit in the structure is covered in our RevOps org chart for SaaS.
Team size matters. Below roughly 20 sellers, you probably will not hire a dedicated engineer, and your RevOps people can build and maintain focused tools themselves. Above that, a developer inside RevOps starts to pay for itself.
If you want working tools without hiring a team first, our Forward Deployed GTM Engineers build them inside your CRM and stack, document them and hand them over to your people. Book a call and we will tell you which of your tools are worth building.
Common objections to building your own SaaS tools
Opponents of building raise four objections. Here is our view on each.
First, security. That argument is fading fast. Low-code, no-code and cloud platforms now handle much of the security setup, and plenty of GTM tools do not need that level of lockdown in the first place. You can self-host on your own infrastructure, wire in single sign-on across the relevant features, and, where customers require it, put the tool in scope for a SOC 2 examination, the AICPA's report on a service organisation's controls relevant to security, availability, processing integrity, confidentiality or privacy (AICPA).
Second, departures. People worry about who will manage the tool when its builder leaves. That is a valid concern, but a smaller one than it was. Current models are very good at producing proper documentation, so a new joiner can take a tool over, and the same documentation helps the model maintain and improve the tool with the right prompts. Above all, invest in a team that can maintain these tools. That is your competitive edge over the long run.
Third, complexity. Some tools are too complex to build yourself. There is some truth in that, but almost anything can be built. Large companies with big engineering teams have custom-built core systems for decades, and a whole industry of custom software firms grew up to build and maintain them. Being able to build something does not mean you should, which brings us to what not to build.
Fourth, governance. This is the objection we see bite most often in client work. Once teams start building, the risks are duplicate tools, builds on poor source data, credentials shared in the wrong places, and automations nobody else understands. The teams that do this well keep one repository, control access, share context, and build a central workflow layer while still buying data and automation services underneath. A lean tool stack applies to what you build as much as to what you buy.
What not to build (yet)
For now, I would not build the ERP, the CRM or the marketing automation platform.
Those three are systems of record. They are highly integrated with other platforms, and custom processes make them complex quickly. Salesforce, HubSpot, Xero, NetSuite and similar vendors have invested heavily in perfecting them. A custom-built one can work for a small company, but for a mid-sized SaaS company or a larger enterprise it is a very heavy lift. Put the effort into the CRM data model instead, and start with tools that are simpler and return more.
Simple does not always mean cheap. The CPQ is expensive, but it can be rebuilt. So, builders, let's go out and build.
If you would rather have experienced builders do it with you, book a call about our Forward Deployed GTM Engineers.
Frequently asked questions about build vs buy for SaaS tools
What should RevOps build instead of buy?
Build narrow, rule-based tools that reflect how you sell, such as a CPQ inside your CRM, a commission calculator, territory and capacity planning, or deduplication and enrichment agents. Buy systems of record and any tool your stack already covers.
Is it cheaper to build your own SaaS tools with AI?
Often, but not automatically. Building removes per-seat licence costs, but you take on build time, hosting and maintenance. Compare total cost over three to five years, including the person who will own the tool.
Should we build our own CRM?
No, not for most companies. A CRM is a system of record with deep integrations, permissions, reporting and compliance needs, and a custom one usually ends up as a weaker version of the platform you could have bought.
Who should build and maintain custom GTM tools?
Someone inside the commercial team who will be there every day, ideally an engineer within RevOps. External builders can create the first version, but a named internal owner has to maintain it as pricing, products and processes change.
How do you decide between build and buy?
Use a short scorecard. It asks whether the tool is a system of record, how narrow the scope is, how specific the logic is, whether a current tool already does the job, who will own it, how the licence cost grows and what a failure would cost. Systems of record and tools without an owner are hard stops for building.
