Systems | Development | Analytics | API | Testing

With 34% of software failing to meet quality standards, and 77% of AI failures significant enough to damage user trust and product integrity, new research highlights why global brands must pair AI orchestration with expert human insight.

The world of banking is shifting. For a long time, cool consumer banking apps made all the headlines. But today, the biggest change is happening in the business world. Recent financial reports from firms like McKinsey and Boston Consulting Group show that small and medium enterprises (SMEs) spend over $850 billion a year on banking fees and loans. Because of this, specialized neobanking for SMEs has quietly grown into a massive $100 billion market opportunity in 2026.

As product delivery cadences shrink, traditional quality assurance approaches are reaching operational constraints. Traditional scripted test scripts, albeit a tried-and-true method in the past, can no longer keep up with the onslaught of dynamic code changes, changing microfrontends, and CI pipelines. In many cases, just changing a label or making a small modification to a layout may break whole integration suites and create huge backlogs.

While the benefits of LLM orchestration layers and autonomous agents are clear, they also bring a new set of non-deterministic failure modes that traditional unit testing cannot detect. A study by RAND Corporation found that 80.3% of AI projects fail to achieve the desired business outcomes, and this is because of issues in the data pipeline and model integration, not algorithmic problems.Using traditional software, you will get predictable results from known inputs.

Xray is transitioning into a Forge App, Atlassian's modern cloud development platform, using Forge Remote to strengthen security, align with Atlassian's long-term roadmap, and support future innovation. If you're wondering what the Xray Forge migration means, the short answer is simple: your testing workflows stay exactly the same. The changes happen behind the scenes, improving the platform that powers Xray while maintaining the features, scalability, and performance your team relies on.