QA automation that protects critical flows — not vanity coverage.
Mantis helps startup teams build practical automation around the user journeys that matter most, so releases feel safer without turning QA into automation theater.
What QA automation should actually do.
Good automation protects the parts of the product that are expensive to re-check manually and dangerous to let break. It should make releases safer — not create busywork or false confidence.
Protect critical user journeys
Automation should cover the flows that hurt the business when they break — checkout, auth, onboarding — and re-run them often enough to catch regressions early.
Reduce repeated manual re-checking
If a tester is doing the same 30-minute regression pass before every release, that pass should be automated. Free human attention for the harder work.
Support faster release validation
Good automation produces a confident yes-or-no on the parts of the product the team is most afraid to break. That's the bar.
Strengthen confidence in core flows
Automation isn't there to replace judgment. It's there to make the team feel safer pressing the deploy button — for the right reasons.
What we automate.
Practical coverage of the flows that matter — not a maximum script count for the sake of a chart.
Smoke checks
Fast, broad checks that confirm the product is alive and the critical paths still work after every change.
Regression coverage
Targeted protection for the flows your team has already shipped — so the same bug doesn't return next quarter.
Critical user journeys
End-to-end coverage of the flows users actually depend on: signup, login, payment, account changes, key product moments.
API validation
Contract and behavior checks where the backend is the right place to catch breakage — faster and more stable than the UI.
CI-integrated checks
Suites wired into your delivery flow, gating PRs and informing release decisions in real time.
Cross-browser where it matters
Targeted browser and viewport coverage for the surfaces and customers that genuinely need it — not every combination on principle.
What we don't believe in.
An honest list. These are the moves we won't make — even when they look good in a quarterly review.
- NO. 01
Automating everything blindly
Coverage that doesn't reflect risk is just overhead. We pick the flows where breakage is expensive — not the ones that are easy to script.
- NO. 02
Replacing exploratory QA with scripts
Automation catches what you already know to look for. Real product judgment still needs human eyes, especially on new work.
- NO. 03
Chasing fake coverage metrics
"90% coverage" is a number, not a guarantee. We optimize for release confidence in the flows that matter, not green checkmarks.
- NO. 04
Building large, brittle suites no one trusts
Flaky suites get ignored, then deleted. We'd rather ship a smaller, dependable suite the team will actually act on.
- NO. 05
Treating automation as a fix for weak QA
Automation amplifies whatever QA discipline already exists. If the strategy is shaky, more scripts won't save it — clearer thinking will.
Where automation creates the most value.
The flows where breakage is costly and repeatability matters. This is where we focus first — and where automation earns its keep.
Login & authentication
If users can't get in, nothing else matters. Auth is high-frequency, high-risk, and worth automating early.
Onboarding
Where most users see breakage first. Protect the path from signup to first value with steady automated coverage.
Billing & checkout
Direct revenue impact, complex state, and high cost-of-failure. Automation pays for itself here faster than anywhere else.
Account lifecycle
Plan changes, role updates, deletions — quiet flows that break in expensive ways when they go untested between releases.
High-risk core workflows
The 3–5 flows the team is most nervous about every release. Automate them once and stop holding your breath.
Shared flows across teams
Anything touched by multiple teams or downstream by multiple features — where coordination cost makes manual re-checking unsustainable.
How we approach automation.
A calm four-step rhythm. Coverage that grows on purpose.
Identify critical flows
We start with what matters most to release confidence and customer trust — not what's easiest to script.
Define practical coverage
We pick repeatable, stable, high-value checks. The size of the suite is shaped by risk, not by ambition.
Implement and integrate
We build automation into your delivery workflow so it gates releases and informs real decisions — not a parallel dashboard.
Strengthen over time
Coverage evolves as the product grows. Old scripts get pruned. New ones earn their place.
Tooling that fits modern startup teams.
We pick tools to match the team's stack, scale, and the lifespan of the coverage being built — not because of vendor loyalty.
↳ Stack is shaped during fit call- APlaywrightModern, fast, reliable. Our default for new web automation work.DEFAULT · WEB & API
- BSeleniumWhen existing suites or org constraints make a clean Playwright path impractical.LEGACY CONTEXT
- CAppiumiOS and Android coverage when the product lives on real devices.MOBILE
- DAPI testingContract and behavior checks at the layer where stability matters most.BACKEND CONFIDENCE
- ECI / CDGitHub Actions, GitLab CI, CircleCI, Buildkite — wired into the flow you already use.DELIVERY HOOKS
- FDevice lab30+ iOS and Android handsets for the surfaces and customers that need real-device validation.REAL HARDWARE
What clients actually get from better automation.
The result isn't a bigger suite. It's a calmer release cycle, less manual re-checking, and more confidence in the parts of the product that matter.
Safer releases
Confidence on the flows you care about most — every PR, every nightly, every cycle.
Faster repeated validation
Long pre-release regression passes shrink into automated runs you can act on in minutes.
Less manual re-checking
Stable flows stop eating human attention. QA time goes back to the harder, more useful work.
Stronger discipline over time
Coverage compounds with the product. New risk gets covered. Old, noisy scripts get pruned.
When startup teams usually need this.
If two or three of these sound familiar, automation is probably worth a conversation.
- 01Frequent releases that increasingly feel risky
- 02Growing product complexity outpacing manual coverage
- 03Recurring regressions in the same flows
- 04Engineers testing their own work without enough protection
- 05Every release feels riskier than it should
- 06Sensitive billing, onboarding, or account flows that can't break
Automation works best inside a broader QA strategy.
We don't treat automation as a standalone fix. It works best as part of a wider QA setup — exploratory testing, release validation, and stronger quality ownership over time.
Find out where regression risk actually lives.
Rapid Health Check uncovers which parts of the product are most fragile, where regression risk is concentrated, and what's genuinely worth protecting with automation.
Need automation that actually reduces release risk?
Mantis helps startup teams build practical automation that protects critical flows and supports safer releases over time.