Verify the system and the workflow before operations depend on it
Testing sits above development in the delivery stack. It checks that the software behaves as designed, that integrations keep their contracts, and that the operating path—including human review points—holds under realistic cases before DevOps releases it.
A fit looks like this
- A build is ready, but nobody has proven the critical paths under realistic data.
- Integrations fail silently or only show problems after operators rely on them.
- An AI or automation step is about to touch a system of record and needs a trust bar.
The operating problem
- Releases that discover defects in production
- Integration breaks with no regression coverage
- Acceptance criteria that describe features but not the workflow
- AI outputs trusted without sampling or failure cases
What the engagement covers
- Define riskName the paths, data, and failure modes that matter to operations.
- Design coverageChoose automated checks, manual scenarios, and sampling for AI-assisted steps.
- ExecuteRun the suite against realistic cases and record defects with severity.
- Gate releaseRecommend go, fix, or defer before DevOps promotes the build.
Who joins the work
- Owners who can state acceptance criteria in operating terms
- Access to representative, appropriately handled test data
- Environment access that mirrors production constraints
- Agreement on severity and release gating
What success looks like
- Critical paths have explicit pass/fail evidence
- Known defects are triaged before release
- Integration contracts are checked, not assumed
- Operators can see what was verified before they rely on the system
Questions leaders ask
Is this only automated unit tests?
No. Coverage follows the risk: application behaviour, integration contracts, and the operating workflow, including human-review paths where accuracy matters.
Can we skip testing if the build looks fine?
A demo on clean examples is not evidence. Testing is what makes a release and later AI automation defensible.
Related
Inside the engagement
Testing follows the risk of the workflow: application behaviour, integration contracts, and the human-review path where accuracy matters. A demo on clean examples is not a gate. Evidence against realistic cases is what allows DevOps to release and AI to touch a system of record.
Discuss what needs to be verified before release
Contact us when a build or workflow is ready for a trust bar, or pair testing with development and DevOps on the same stack.