Release readiness summaries
Before a go/no-go, have the model write up what is known to be wrong and what wasn't checked, with every statement linked back to where the evidence lives.
How it works
Release decisions are made from evidence scattered across CI, the tracker, test management and people's heads. The model collects what is available for the release: run results and their trend, open defects by severity, which changes were tested and how, outstanding risks from the risk list, and anything explicitly not tested. It writes a summary that leads with what the decision-maker needs — what is known to be wrong, what wasn't checked — rather than with pass rates. Each statement links to its source. The summary informs a decision; it doesn't make a recommendation unless asked to, and then it shows the reasoning.
When to use it
Regular release cycles where readiness reports are assembled by hand; releases with many contributing teams; and stakeholders who need a quality picture but won't read test reports.
Limitations
The summary reflects the data it can reach: exploratory findings, conversations and concerns raised in meetings are usually missing, and they are often the most important input. Models tend to make mixed evidence sound settled and to soften bad news. Pass rates and counts can look reassuring while saying little about risk.
Watch for
The “not tested” section lists only what someone recorded as not tested, so an area nobody touched doesn’t appear at all. Compare the release’s changed areas with the test evidence, and list every changed area that has none.
What you still own
The judgement about readiness, what the summary must not leave out, and saying so when the evidence is thin.
Cite this
Qlarify Labs. (2026). Release readiness summaries. Retrieved from https://labs.qlarify.fi/ai-in-testing/release-readiness-summaries


