Digital Transformation in Construction

Trusted to deliver technology solutions across construction

With the construction industry facing opportunity and challenge in equal measure, an 85% increase in construction projects by 2030 offers construction businesses and incredible chance to grow. Yet, a shortage of skilled workers and low rate of productivity makes it difficult for organisations to rise to the challenge.

The solution is technology. Beyond improving productivity and profit, there are many other compelling reasons that construction companies are adopting technology; from improving collaboration between teams and stakeholders to improving customer experience.

Audacia have a wealth of experience delivering digital transformation for leading construction companies; from applications to track the progress across UK wide housing developments for a leading luxury house builder, to platforms to streamline communications across employees and sites for one of the UK's biggest residential construction companies.

The Shifting AI Workforce: Process, People and Strategy

Audacia - 17/08/2026

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 recognised as an OpenAI Select Partner

Audacia - 10/08/2026

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

Fabric IQ and Ontology: Giving Data a Shared Business Meaning

Oliver Boult - 08/07/2026

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.

A Testing Strategy for Legacy Modernisation

Richard Brown - 08/07/2026

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.