Why a Successful AI Testing Pilot Can Still Lead to a Failed Rollout
Eighty-eight percent of respondents say AI is a priority for their organization’s future testing strategy. Only 12.6% report using it across key testing activities today. Those findings, from a Leapwork and SD Times survey of 302 QA professionals, do not mean that AI in testing is failing. They reveal a considerable gap between enthusiasm for AI and its broad adoption in testing.
Here is where many QA teams go wrong. A team runs a small pilot, then judges it against the standards of a full organization-wide rollout. When the numbers do not look appealing, they conclude that the tool is not capable, even though the pilot was never built to answer that question. In some cases, the reverse happens. A clean pilot gets treated as proof the tool is ready for everything, and it gets deployed at scale into use cases it was never tested on.
Different Stages, Different Finish...
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