Insights on the latest industry developments and technology advancements within digital transformation.

Legacy systems often don't come with a specification, with their behaviour living in code nobody documented and workarounds nobody wrote down. This piece looks at why conventional testing breaks down in modernisation projects, how characterisation testing captures undocumented behaviour before it's changed, and how to measure whether your testing strategy is actually working.

The gap between a proof of concept and a production system is where a significant proportion of AI initiatives fail to progress. Understanding what that transition involves, and planning for it from the outset, is one of the more important things a technology leader can do before committing investment. This blog draws on Episode 1 of Audacia's podcast Technically Speaking and covers the lessons our guests have taken from productionising AI.

This blog captures the key themes from the launch event of Technically Speaking, Audacia's new podcast - held as part of Leeds Digital Mini Festival. Technology and security leaders from financial services, government and software came together to explore the 'Human Problem' in cybersecurity.

Audacia awarded Highly Commended for AI Company of the Year at the 2026 British Data Awards in recognition of Audacia’s track record of responsible, collaborative AI delivery across regulated and complex industries.

Half of everything software teams build is wasted. This is a consistent finding across multiple studies and decades of data, and it should be the starting point for any conversation about digital product delivery. This article looks at why technology projects consistently lose focus on user outcomes, what the evidence says about the impact of user-centred delivery, and how engineering leaders can build the discipline of tying every feature to genuine user value.

Most enterprise AI projects stall not because the model fails, but because the data underneath is incomplete or inaccessible. This article sets out the five dimensions of AI data readiness, examines how data debt compounds across initiatives, and explores the architectural patterns that allow organisations to scale AI.

AI coding tools are now embedded in most development workflows, but AI-generated code introduces more security vulnerabilities, duplication and critical defects than human-written code. This article examines the risks and the testing and governance practices engineering leaders need to capture the productivity benefits without accumulating quality debt.

Audacia is shortlisted for AI Company of the Year at the 2026 British Data Awards.

Audacia has been shortlisted at the 2026 National Technology Awards for "AI Innovation of the Year" with the Medicines and Healthcare products Regulatory Agency (MHRA).