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Zartis Tech Blog
From software industry research and insights to practical how-to guides — discover the tools you need to succeed in software development.
Highlights
How Zartis Helped Create Real-Time Power Management for a UK Smart EV Charging Company
Discover how Zartis engineers are helping a cleantech leader enable dynamic, data-driven EV charging solutions.
Zartis Makes Deloitte Fast 50 for the Sixth Year Running
We are thrilled to share that Zartis has ranked in Deloitte Technology Fast 50 Ireland for a sixth year running. A huge thanks to everyone!
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.
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Verification Is Not The Tax On AI Autonomy – It Is The Price Of Admission
Autonomy isn’t earned by a smarter model. It’s earned by permissions, hooks, sandboxes, and CI gates an AI agent can run against. See how Zartis can help.
Claude for Coding: How Engineering Teams Move From Autocomplete to Agentic Delivery
Claude coding means more than autocomplete. See what it takes to move engineering teams to governed, agentic delivery with Zartis
Adopting Claude Across the Enterprise: What a Preferred Services Partner Handles That a Licence Alone Does Not
A Claude enterprise licence isn’t a rollout plan. See what governance, integration and evaluation work closes the gap, and talk to Zartis.
Claude Code for Enterprise Engineering Teams: Beyond Developer Productivity Into Organisational Capability
Individual coding speed doesn’t reach the business. Discover the three organisational capabilities that make Claude Code adoption pay off at scale.
Building Trustworthy Agentic AI in Financial Services: A Compliance-First Implementation Framework
A compliance-first framework for deploying agentic AI in financial services, covering governance design, observability, and lifecycle controls.
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.
Insights
In-depth Research and Whitepapers by the Zartis Team
Check out our resources page, and access our insights on AI & software engineering.
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Zartis AI Review
Your monthly source for AI and software related news.