Blog

We explore how agentic test automation is redefining software quality. By shifting from rigid scripts to intelligent, adaptive validation powered by AI, teams can accelerate releases, enhance coverage, and build lasting trust. The blog highlights the synergy between automation and human expertise across modern delivery landscapes.

At UiPath on Tour London 2025, Richard Manser and Paul Lewis proudly represented Emerging T-Tech, engaging with a vibrant community and sharing insights on the future of intelligent automation. The event highlighted ground breaking advancements in agentic automation from leading organisations like Travis Perkins and NatWest, showcasing its transformative impact across industries.

Before diving into AI model development whether building or buying, leaders need a clear-eyed framework for decision-making. This post outlines the key strategic, technical, and operational questions every organisation should ask to avoid costly mistakes and ensure alignment with business outcomes.

Not every organisation has to choose between building or borrowing. This post explores how hybrid strategies combining pre-built models with custom fine-tuning, private hosting, or on-device optimisation, can deliver the best of both worlds.

Building your own AI model can be expensive, complex, and risky but there are scenarios where it pays off. This post looks at when developing a proprietary model offers genuine return on investment, and what conditions must be in place to justify the effort.

Building your own AI model may seem like a cost-saving move in the long term but the reality is often very different. This post explores the hidden and not-so-hidden costs of developing, training, and maintaining proprietary AI models, from staffing and compute to compliance and failures.