The Challenge Rolling out a hospital patient portal that works seamlessly across devices and platforms is not just a technical milestone, it is a critical service improvement. Patients need to be able to check test results, book appointments, and request repeat prescriptions quickly and securely. The complexity lies in ensuring the portal is accessible to
The Challenge Preparing multi-country pharmaceutical submissions is a resource-intensive process. Even with experienced teams, the task of gathering data, formatting for different markets and regulatory regions, and ensuring consistency across hundreds of documents remains slow and labour-heavy. Manual handling increases the risk of inconsistencies and errors, which can lead to re-work, missed deadlines, and delayed
In the wake of the COVID-19 pandemic, the fragility of global healthcare supply chains was laid bare. From delayed vaccine distribution to shortages of critical medicines, bottlenecks revealed themselves at every stage. The truth is, while the science behind new treatments and technologies is advancing at remarkable speed, the systems designed to get these innovations
AI‑driven decision‑making and ever‑tighter release cadences promise faster value delivery. Yet for teams operating under the microscope of regulators, from defence and financial services to healthcare and critical infrastructure, the reality is more complex.
In the financial services sector, staying ahead is not just about speed. It is about trust, security and meeting rigorous compliance standards. From global banks to emerging FinTech’s, organisations face relentless pressure to deliver seamless digital experiences while maintaining control over operational and regulatory risks. Yet with increasingly complex technology estates spanning web, mobile and
New poll results reveal a shift in quality ownership across software teams. Discover what this means for your QA strategy, test automation tools, and how your organisation can plan for better software quality and faster delivery. The QA Ownership Poll: Understanding Quality in Modern Software Teams As software delivery models evolve, organisations are re-examining a key
Why One-Size-Fits-All AI Testing Does Not Work As more organisations rush to adopt artificial intelligence for software testing, there is a growing assumption that AI is the best answer for every environment. In reality, many teams quickly discover that AI-based test automation does not suit every platform, industry or security model. If your software depends
The promise of continuous testing lies in delivering rapid, reliable feedback that enables development teams to maintain velocity whilst ensuring software quality. However, many organisations discover that their test scripts have become the primary bottleneck in their CI/CD pipelines, transforming what should be an accelerating force into a source of delays, frustration and reduced confidence
The distinction between truly data-driven automation and merely repetitive scripting represents one of the most critical decisions facing modern software development teams. Whilst many organisations believe they’ve implemented sophisticated automation frameworks, closer examination often reveals collections of hard-coded scripts that repeat identical actions with minimal variation. This fundamental misunderstanding not only limits testing effectiveness but
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