Short answer: Coding 2-3X faster with AI doesn’t reduce cycle time if your delivery pipeline has downstream bottlenecks. While AI tools accelerate the development phase, delivery speed is determined by the slowest phase often QA or PR review. To improve Cycle Time (Idea to Production), organizations must shift from isolated AI tool usage to AI-native […]
Why Coding Faster with AI Doesn’t Reduce Cycle Time Read More »
This viewpoint will explore: The current state of technology risk management? Technologies of many different types and complexities continue to dominate our world, in line with an ongoing 50-year plus trend. They have permeated widely throughout societies globally, and are used extensively in support of our professional, personal, and social lives. The opportunity to harness
Continuing the journey of technology risk improvement Read More »
There is an assumption driving most AI adoption conversations – more AI tools in the hands of developers means higher productivity. The logic feels alright at first glance. Coding assistants accelerate development. Development is the core of software delivery. Therefore, AI accelerates delivery. While this logic holds true at an individual level. It breaks down
What is AI-Native Engineering? And Why It Is Different from Using AI-Coding Assistants Read More »
Your security team didn’t fail. Your AI deployment process did, and last year, 78% of enterprises found out the hard way. That number comes from a DigiCert-commissioned survey of 1,001 IT and cybersecurity leaders conducted in 2026. Nearly four out of five enterprises reported AI-related security incidents or identified material AI-related vulnerabilities in the prior
AI Security Incidents: The Critical Role of Deployment Discipline Read More »
After years of Business Central implementations, we’ve learned that projects rarely fail because of the software. They fail because businesses underestimate the groundwork: payroll compliance, clean data, and proper user training. In our experience, Australian SMEs get the best results when they recognise early that Business Central ERP is not just an IT upgrade; it
The development of generative AI – and foundation models more broadly – has had a significant impact on the accessibility of AI to both businesses and consumers. Historically, enterprise teams have been constrained by the complexity of AI, requiring extensive use case-specific datasets, specialised expertise in both AI and relevant industry sectors, and a Machine
Generative AI: Boon or bane for the planet Read More »
