Your regression suite is green. The deployment passes. Then a customer reports that they cannot complete the one workflow your business depends on. Nothing “broke” in the conventional sense. The service responded. The API returned the expected payload. The UI test reached the confirmation screen. Yet the user can’t tell whether the transaction succeeded, the
When organisations calculate the cost of test automation, the licence fee is usually the obvious place to start. But it is rarely the whole story. The real cost builds over time through licensing, maintenance, additional tools, infrastructure and the resources required to keep automation running. Then there is another cost that is harder to quantify:
A practical look at automation resilience, AI dependency and business continuity in an increasingly AI-driven world. Recent restrictions affecting access to Anthropic’s advanced AI models have highlighted an important question for businesses adopting AI technologies: what happens when a service your team depends upon becomes unavailable? While the circumstances surrounding the restrictions are specific to
Many automation tools promote a simple idea. One script that can run across multiple platforms. In theory, this approach reduces duplication, simplifies maintenance, and improves consistency across environments. In practice, achieving that level of consistency remains a challenge for most teams. The Promise of One Script Across Multiple Platforms Cross-platform testing has become essential as
The rise of AI-driven tools has transformed how quickly teams can create test scripts. Functional tests can now be generated in minutes using cloud-based platforms, low-code tools, or AI assistants. This shift has redefined expectations around speed and accessibility in test automation. But speed is only part of the equation. A generated test has limited
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