Why AI-Driven Legacy Code Modernisation Is Now a Board-Level Risk Management Priority
Legacy code is a board-level risk, not just an engineering backlog. Learn how CTOs can frame AI-driven modernisation as a risk management priority before it becomes a crisis.
AI Governance Best Practices: Moving From Abstract Guidelines To Engineering Reality
Most organisations publish AI governance frameworks. Few translate them into running engineering controls. Here is how to close that gap in production systems.
AI Team Structures: Embedded vs Centralised
Centralised AI teams build foundations. Embedded squads drive speed and relevance. This guide breaks down both models, when each works, and how mature organisations combine them into a hybrid operating model that scales.
The Semantic Layer: Turning Raw Data into Trusted AI Insights
A semantic layer gives BI tools and AI systems a shared definition of business metrics, removing conflicting reports and building trust in analytics.
Human-in-the-Loop UI Patterns: Designing Intentional Friction For Safer AI Products
Human-in-the-loop AI design keeps humans involved in automated decisions. Explore the UI patterns that make oversight intentional.
Deploying Enterprise Agentic AI Solutions: Real-World Scenarios in Banking and Healthcare
Agentic AI solutions in regulated industries require more than a good demo. See what production-grade architecture looks like in banking and healthcare.
The True Cost of AI Implementation: Moving From Isolated Tools to Enterprise Organisational Capability
AI projects fail not because the ideas were bad, but because the cost of implementation was not clear. Learn what production-grade AI requires.
Your AI Pilot Measures Developer Productivity Wrong
Most AI pilots measure the wrong thing. Here’s why the 80% productivity claim and the 19% slowdown are both correct, and what to do instead.
What Happens When the CEO Becomes the Case Study: Zartis Launches Agentify the C-Suite
At the Zartis AI Summit 2026, CEO Padraig Coffey launched “Agentify the C-Suite” service. This 30-day programme moves leaders beyond theoretical pilots by building custom AI companions integrated directly into daily workflows.
RAG vs Fine-Tuning: A 2026 Decision Framework
Stop treating RAG and fine-tuning as rivals. Discover the 3-layer AI stack—combining retrieval, behavior, and robustness training—to fix silent LLM failures.