The engineering ROI playbook for European companies
How to justify engineering spend: the equation, what counts as a return, which intangibles are defensible, and measurement that survives scrutiny.
Engineering budgets used to be approved on the strength of a roadmap. They are now approved on the strength of an argument, and most engineering leaders were never trained to make one.
This is the argument: what the equation actually is, which returns are defensible, and how to measure in a way that survives a second meeting.
Why the scrutiny increased
Three things changed at once for Swiss and European mid-market companies.
Technology costs rose in absolute terms. Cloud, licences and engineering salaries all moved upward, and the total became large enough to appear as its own line rather than inside overhead.
Boards learned to ask. A decade of digital programmes produced enough disappointing outcomes that “we need to invest in technology” no longer clears a room.
Comparisons got easier. When a competitor ships something in a quarter, “these things take time” becomes harder to sustain.
None of this means engineering is under attack. It means engineering is being held to the same standard as every other function, which is reasonable and mostly overdue.
The equation, and where it goes wrong
The formula is unremarkable: return ÷ investment, over a defined period.
The mistakes are all in the inputs.
Investment is usually understated. The build cost gets counted. What often does not: the operating cost afterwards, the internal time consumed, the delay to whatever the team stopped doing, and the maintenance commitment you just signed up for over the system’s life.
Return is usually overstated. Specifically, hours “saved” are counted as money. They are only money if the hours were actually removed — if the person left, the role was not backfilled, or the freed capacity demonstrably went somewhere that produced revenue. Otherwise you have made someone’s day pleasanter, which is a real benefit and not a financial return.
The period is chosen to flatter. A three-year horizon on a system that will need replacing in four is a selective reading.
A useful discipline: write the equation as if a sceptical CFO will check every line, because increasingly one will.
Which returns are defensible
Ranked by how well they survive challenge.
Strongest — cost that leaves the business. A licence not renewed. A data centre contract ended. Contractor spend that stops. These are verifiable in the ledger.
Strong — revenue that can be attributed. Orders that could not previously be taken, a channel that opened, a conversion rate that moved with a controlled comparison.
Moderate — risk reduced with a number attached. Downtime hours multiplied by cost per hour, or a compliance penalty avoided with an actual exposure figure. Defensible when the underlying numbers are real; hand-waving when they are estimates of estimates.
Weak on its own — capacity freed. Only counts if you can say where it went. “Engineers spend less time on deployments” is not a return; “that time went into the two features that produced X” is.
Not a return — better metrics. Deployment frequency, test coverage, lead time. These are excellent operational indicators and they are not financial outcomes. Presenting them as ROI is the single fastest way to lose a finance audience.
Intangibles, handled honestly
Some benefits are real and hard to price: reduced key-person risk, better ability to hire, faster onboarding, less burnout.
The wrong move is to invent a number. The right move is to state them separately and qualitatively, alongside the quantified case.
A structure that works:
- Quantified return — the defensible figures, conservatively stated
- Risk avoided — with the exposure named, even if the probability is not
- Strategic effects — described in sentences, not francs
A board can weigh that. What it cannot weigh is a single number with unstated assumptions inside it.
Measuring so the result holds up
Capture the baseline before you start. This is the step most often skipped and the one that makes every later claim arguable. If you cannot state today’s number, you will not be able to prove tomorrow’s improvement.
Pick the measure before the work, not after. A measure chosen afterwards will be the one that happened to move.
Measure unit cost, not total. Total spend rises with a growing business; cost per customer or per transaction tells you whether the investment worked.
Report the misses too. A leader who reports a project that did not deliver buys credibility for the next three that did. Reporting only wins is, over a few cycles, indistinguishable from reporting nothing.
For Swiss companies specifically
Two local factors change the arithmetic.
Engineering salaries are high, which raises the return on anything that removes engineering toil — and raises the cost of a wrong hire enough that a flexible capacity model is often the better financial structure. That comparison is worked through in Swiss engineering costs: in-house vs remote.
Compliance work is not optional, so the honest treatment is to count it as a cost of doing business rather than as an ROI line. Presenting revDSG or EU AI Act readiness as an investment with a return invites a question you do not want: “and if we didn’t?”
Related reading
- Maximising engineering ROI: the CFO’s view — the same question from the finance seat
- The hidden costs of scaling
- Dedicated engineering teams
If you are preparing a case and want it pressure-tested before it reaches the board, book a call. No obligation.