Build vs Buy and Making the Case for Automation

The idea, in one line

Automation pays off through repetition. Compare what it costs to build and maintain against the manual hours it saves each cycle. That comparison is your whole business case.

The two sides of the sum

• Investment: build hours + tool cost + the maintenance nobody remembers to budget for.
• Return: manual hours saved every cycle + faster feedback + the escaped defects you now avoid.

See it work

Here's a case you could defend in a planning meeting. Say a suite takes 80 build hours at $75/hour — that's a $6,000 build. It replaces 20 hours of manual regression per sprint, across 26 sprints a year:

1. Manual work saved: 20 hours x $75 x 26 sprints = $39,000 a year.
2. Running cost: a $200/month tool ($2,400) plus 4 maintenance hours per sprint ($7,800) = about $10,200 a year.
3. Net in year one: $39,000 saved minus $10,200 running minus the $6,000 build = roughly $22,800.
4. Break-even: the $6,000 build divided by $1,500 saved per sprint = 4 sprints until it pays for itself.

Build vs buy is the same sum

It's the exact calculation applied to tooling:

• Buy when the problem is already solved and not special to you — a cloud device grid, a reporting service. Your team's time is worth more elsewhere.
• Build when the need is specific to your product and no vendor fits — but budget for the maintenance nobody quotes you.

Advanced — speak the business's language

Frame the return in numbers leadership already cares about: DORA throughput. Faster, safer feedback raises deployment frequency and shortens lead time; fewer escaped bugs lowers change failure rate. Those move business outcomes, not just a QA dashboard. And always name the break-even point — 'this pays for itself after four sprints.' A case with no break-even is a wish, not a plan.

Grounded in DORA (dora.dev) delivery-throughput framing and standard automation ROI reasoning