Why Team Alignment Determines Whether Technology Projects Succeed
Adam Stirk - 25/03/2026
Decades of research across tens of thousands of projects point to team alignment as the root cause of failure. This article examines why alignment failures are so common, how they compound over time, and what engineering leaders can do to build the single-team model that is the strongest predictor of project success.
Non-Functional Testing in the Cloud-Native Era
Rhys Smith - 24/03/2026
Cloud-native architectures have changed the landscape of software quality. This article examines the five dimensions of non-functional testing that matter most in cloud-native environments: performance, resilience, security, observability, and accessibility, and what engineering leaders need to consider to address them.
Why AI Projects Fail to Scale: The Five Root Causes
Adam Brookes - 23/03/2026
More than 80% of AI projects fail which is twice the rate of non-AI IT projects. This article explores the five reported consistent root causes of this failure: starting with technology instead of a business problem, weak executive sponsorship, poor data readiness, no path to production, and treating AI like a traditional IT project.
Testing AI: How to Effectively Evaluate LLMs
Richard Brown - 02/03/2026
This article examines why traditional software testing falls short for LLM-powered systems and what organisations need to do differently. It covers the scale of the hallucination problem, evaluation approaches for RAG and agentic AI systems, the emerging regulatory requirements around AI testing, and how engineering leaders can build the evaluation capability needed to deploy AI responsibly.
Why AI Governance is Key to Scaling AI
Chris Bentley - 27/02/2026
This article explores the role of AI governance in scaling AI beyond pilots and into production. It examines the cost of ungoverned AI, the evolving regulatory landscape including the EU AI Act and the UK's principles-based approach, and outlines three practical governance principles - proportionate, embedded and automated - that enable organisations to scale AI with confidence.
Managing Hidden Waterfalls in Legacy Modernisation Projects
Matt Cross - 25/02/2026
Agile remains the dominant delivery model for good reason but in legacy-heavy organisations, its effectiveness can quietly erode. As undocumented behaviours and operational workarounds emerge, the legacy system reasserts itself as the source of truth. The result is a hybrid model - agile in appearance, waterfall in substance.
Audacia wins "Best Place to Work" at the UK IT Industry Awards
Audacia - 19/11/2025
Audacia wins “Best Place to Work” at this year’s UK IT Industry Awards and is also Highly Commended in the "Services Company of the Year (<100)" category.
Leeds Digital Festival 2025 x Tech Talks Live
Audacia - 29/08/2025
As part of Leeds Digital Festival, Audacia is hosting Tech Talks Live, an afternoon of live sessions, joined by clients, covering topics across engineering, data and AI.
Audacia shortlisted in UK IT Industry Awards 2025
Audacia - 27/08/2025
Audacia is shortlisted for AI Innovation of the Year (with MHRA), Services Company of the Year, and Best Place to Work at the UK IT Industry Awards 2025.
Industry Insights: Most Read in 2025 (So Far)
Audacia - 22/08/2025
As we’re over halfway through 2025, we’re rounding up the most popular content read by IT directors, CIOs and other tech leaders on our industry insights blog so far this year.