According to the World Economic Forum, AI and other macrotrends are projected to create 170 million new jobs by 2030 while displacing 92 million, a net increase of 78 million roles. In this post, we look at why the gap between organisations extracting real value from AI and those simply chasing it comes down to redesigning how work gets done rather than layering AI onto existing processes, what this means for accountability, change management and hiring, and what leaders can act on now.

Audacia has been named an OpenAI Select Partner, recognising its AI delivery expertise across regulated industries including healthcare, transport, and finance.

AI agents need a fixed, shared meaning for business data before they can be trusted to reason over it. This piece looks at what Fabric IQ and Ontology actually are, how they differ from a semantic model, what preparing your data for them involves, and where the platform trade-offs sit against alternatives from Databricks and Snowflake.

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.