Resources
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!
Innovative Product Development for a UK-Based Energy Company
Contributing to cleantech product development and modernisation for a UK-based sustainable energy company
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The AI Readiness Checklist for Regulated Industries
Unlock a practical AI readiness assessment for CTOs in regulated sectors. Bridge the gap between technical pilots and institutional trust.
Supply Chain AI: Beyond Demand Forecasting
Stop settling for better forecasts. Discover how AI supply chain optimization, digital twins, and autonomous decision-making are replacing static planning to build resilient, real-time logistics networks that thrive on volatility.
Scaling LLM Workloads on Kubernetes: A Production Engineer’s Guide
Discover why the standard Kubernetes playbook fails for LLM workloads and get a production-ready strategy for scaling vLLM, KServe, and Triton.
AI Governance & Accountability: Who’s Liable When Your AI Agent Breaks Something
Learn how to bridge the “AI Governance Gap,” solve the problem of “Orphaned Agents,” and implement the 4 structural capabilities needed for responsible AI autonomy.
AI Agent Cost Optimisation: Why Token Cost Is the Wrong Number to Optimise
Learn the five architectural patterns – from context avalanches to damped retry loops – for calculating the only metric that matters: reliability-adjusted cost per task.
The Compounding Errors Problem: Why Multi-Agent Systems Fail and the Architecture That Fixes It
Individual agent performs well, but the pipeline collapses anyway. Here’s the mathematics of why, and what a real error-reduction architecture looks like.
The Architecture of Scale: Building Repeatable Fintech Products – Story of Software S05E03
Listen to Sam Sengupta, CEO of Finray Europe, on market segmentation, building repeatable fintech products, and why clean data is the foundation of a good AI strategy.
RAG in Production: What Nobody Tells You Until You’re Debugging It
Why do RAG demos fail in production? Learn about these 5 critical failure modes and build an enterprise-grade RAG system.
M&A Technical Due Diligence in AI-Driven Businesses: Why Data, Models and Engineering Reality Define Deal Risk
Discover why technical due diligence for AI acquisitions must focus on data provenance, model reproducibility, and MLOps maturity rather than just code.
Subagents Work Best When You Trust Them to Fail
Reliable AI agents aren’t built by preventing failure — they’re built by designing for it. Explore the guardrails and architecture patterns that make agentic AI production-ready.
AI in Social Care: Why “Mostly Works” Is Not Acceptable
“Mostly works” isn’t good enough when AI errors affect lives. Explore the risks of bias, automation, and weak governance in care AI systems.
Why Automated Regression Testing is Now a Business Imperative in 2026
Explore why automated regression testing is a strategic business capability in 2026. Learn how the four pillars—Compliance, Cost, Scalability, and Velocity—leverage GenAI and self-healing scripts to ensure resilient software delivery.
AI in Banking: Why Audit Trails Are Architecture, Not Afterthought
Ensure regulatory compliance and operational safety by building AI in banking audit trails as a core architecture, not an afterthought. Learn how to integrate data lineage, model versioning, and explainability to mitigate risk and meet evolving financial standards.
AI as Business Transformation, Not Technology Transformation
Discover why 95% of AI initiatives fail and how to succeed. Learn why AI demands business transformation, not just technology adoption, with frameworks for strategic integration, operating models, and measurable outcomes.
The Electrification of Software: Building Trustworthy AI – Story of Software S05E02
Wesley Yu, Head of Engineering at MetaLab, on AI product strategy, interface evolution, and building trustworthy AI-enhanced products.
Insights
In-depth Research and Whitepapers by the Zartis Team
Check out our resources page, and access our insights on AI & software engineering.
Newsletter
Zartis Tech Review
Your monthly source for AI and software related news.



