Every operations leader in heavily regulated industries runs into the same call eventually, which is whether to build the software yourselves or buy what the market already sells you. The question sounds simple, but it touches budget, headcount, regulatory exposure, and timeline all at once, and the math has shifted in the last two years.

Retool’s 2026 Build vs Buy Report found that 35% of enterprise teams have already replaced at least one SaaS tool with custom software, and 78% expect to build more in 2026. At the same time, data still shows only 16.2% of software projects finishing on time and on budget, with 31% cancelled outright. Building is more accessible than ever and most builds still miss.

Here is what tends to happen when an operations team decides building is the right call:

“We looked at the market. There just was not much out there. We are so niche in the way we run, and we had such a mess with all the different types of procedures, there were not a lot of options that could actually help us get there.”

• Operations Leader, Offshore Drilling Company

And here is what tends to happen later, once the in house build has been running for a while:

“It would be an amazing improvement over what we currently have, which is very sporadic and usually driven by an audit or a customer request that drives us to go back and make our updates.”

• HSE Director, Oilfield Services Provider

Two operations leaders, same problem, different stages of the arc. One went in house because the market did not have a fit. The other is dealing with what the in house approach looks like a few years in, when the discipline that carried the original build has eroded into reactive patches against audit findings.

The Real Cost of Building In House

Aside from development cost, the headache is everything that comes after launch.

For an industrial application of meaningful scope, a competent build in North America runs $250,000 to $500,000 or more. However 65% of total software cost shows up after deployment. A senior developer runs $160K base, but $210K to $240K fully loaded once you add benefits, payroll taxes, recruiting, and management overhead.

The maintenance math compounds from there. Annual maintenance averages 15 to 25% of original development cost every year the system runs, and across a typical five to seven year lifespan, maintenance ends up making up 60 to 80% of total cost of ownership.

There is also an economics problem most build estimates never account for. A vendor in this space spreads infrastructure costs across every customer in their base, things like AI inference, compliance research, regulatory mapping, security audits, and integrations. With twenty or fifty customers carrying the load, the per customer cost of each input drops to a fraction of what one company pays running it alone. When you build internally, you are eating 100% of those costs yourself with one customer to amortize them against. Some of the vendor margin gets passed through as pricing the internal team cannot realistically match.

Then there is the regulatory work. Every PSM update, every API revision, every state level change is a new requirement against your codebase. When you build, every one becomes engineering work, and when you buy, the vendor absorbs it.

The Real Cost of Buying Off the Shelf

Buying has its own hidden costs. Five year TCO research shows integration and training work adds 150 to 200% on top of the initial license fee. Vendors also get acquired, pivot, and sunset products on you, as Acadia, Anvl, and Parsable customers learned in 2024 when all three were absorbed by larger companies. And no commercial platform fits your operation exactly, so configuration drift over time tends to leave you maintaining custom logic anyway.

The Build vs Buy Software Comparison That Actually Matters

One more shift worth naming first. Software itself is changing. For most of the last decade, buying software meant licensing a tool that helped a person do work faster. A new wave of AI products from specialist labs is starting to automate the services work and the people work that traditional industrial software was built to manage rather than do. The build vs buy decision is no longer just about licensing a tool or building one. It is about whether the off the shelf option is actually automating the work or just helping someone do it manually.

Four Questions That Decide Your Build vs Buy Choice

Most build vs buy frameworks were written for general SaaS, and the criteria that matter for a marketing team do not transfer cleanly to a refinery. For high hazard operations, four questions decide it.

1. Is the functionality strategic or operational table stakes?

If a competitor offered to sell you the exact system you are considering building, would you be embarrassed they have it? If the answer is yes, what you are looking at is table stakes. Procedure management, management of change, permit to work, incident management, audit trails, document control, training records, and compliance reporting are all table stakes. Your competitive edge is in how you run your process units, not in how you manage your procedure library.

2. Can your team maintain it in five years?

The question is not just whether you can build it, but whether you can maintain it through staff turnover, regulatory updates, and changing operations. The developer who wrote the original system has probably moved teams or left the company by then, and the passion that carried the build through launch does not transfer to whoever inherits it. What the next team gets is somebody else’s code and documentation that was already outdated when it was written.

3. What is the opportunity cost?

Every engineer building internal compliance tooling is an engineer not working on what actually differentiates your operation. Operations leaders we talk to have pulled their best engineers off process optimization to maintain an internal procedure system that any vendor could have shipped in a month. And if you spend 3-6 months building it yourself only to realize it can't keep up, you're back in the market anyway, now with sunk cost and lost time on top of the original problem.

“The primary thing we wanted to solve was where we already had solutions we were paying for that could capture the value with low effort and high impact, without additional recurring cost. The harder question was balancing speed of implementation against the opportunity cost of the time it takes to develop.”

Operations Manager, Oilfield Services Provider

4. What does the auditor experience look like?

When OSHA or BSEE shows up and asks you to demonstrate how every procedure executed in the last five years maps to a specific PSM element, what does that workflow actually look like? In a purpose built platform, it is a report you can run from the audit module. A custom system is a different story, and assembling the same answer usually takes the team a week or more.

The Hybrid Path

Many teams end up in the middle, buying the platform for the regulated core and building custom integrations on top. That is often the most defensible posture. The trap is when the custom layer keeps growing until you are effectively maintaining a fork of the platform. A useful test: if more than 20% of your engineering team’s quarterly capacity is going into the custom layer, you are not running a hybrid anymore, you are running a build with vendor dependencies.

Where Interface Fits

Full disclosure: we make software in this space. Interface is a purpose built platform for digital procedures in high hazard industries, with AI doing the heavy lifting on authoring, auditing, and compliance mapping. If you are evaluating build vs buy software for operating procedure management specifically, we would love to be in the consideration set. Most operations teams overestimate what they can build and underestimate what they can buy, and that asymmetry is where the build vs buy software decision actually gets made.

What We’re Covering Next

Next issue: Why Half the Services Work in Industrial Operations Will Be AI by 2030 (And Why That Makes Your Field Operatives More Valuable, Not Less) which back office workflows are getting fully automated, why the operator standing in front of the pump is about to become your biggest competitive advantage, and how to position your team for the split.