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!
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.
Search
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.
Digital Transformation: The First Step to AI-Optimised Fund Administration
Fund administrators rushing to adopt AI face a critical bottleneck: fragmented systems and manual processes. Digital transformation must come first.
M&A Technical Due Diligence in Logistics & Supply Chain: Why Operational Technology and Integration Complexity Define Deal Risk
Don’t let hidden technical debt sink your logistics deal. Learn why technical due diligence in logistics M&A requires a shift from application review to operational reality, covering WMS customization, integration reliability, and manual process risks.
Generative AI for Fund Accounting: Practical Solutions to the Asset Servicing Margin Crisis
Asset servicers in Ireland and Luxembourg face rising costs and fee compression. Discover how GenAI and intelligent automation can reduce operating expenses by 25-50%, streamline AML/KYC, and eliminate manual NAV calculation bottlenecks.
RAG in the Real World: Lessons from Production Deployments
Moving RAG from demo to production? Discover why retrieval-augmented generation fails, and how to engineer reliable AI systems.
From AI Ambition to Operating Model: How to Get AI Adoption Right
Most AI initiatives fail to scale because companies lack a clear AI Operating Model. Learn what it is, and why AI adoption fails without it.
M&A Technical Due Diligence in Telecom: Why Network Complexity and Infrastructure Define Deal Risk
Discover why due diligence looks different in telecom, and how sector-specific risks affect valuation and post-merger outcomes.
AI Transformation Beyond the Hype – Story of Software S05E01
Adrian Sanchez de la Sierra, Head of AI & Innovation at Zartis, explores AI transformation, reimagining systems beyond replacement, and building production-ready AI.
What “Production-Ready AI” Actually Means in Practice
Discover the real engineering, operational, and organisational requirements for building production-ready AI systems.
M&A Technical Due Diligence in the Energy Sector: Why Legacy Infrastructure and Operational Technology Define Deal Risk
Technology risk in energy and utilities M&A goes beyond IT. Learn how operational technology, cybersecurity, and legacy systems impact valuation and deal success.
M&A Technical Due Diligence in Healthcare & Life Sciences: Why Technology Risk is Ultimately Patient and Regulatory Risk
Healthcare M&A technical due diligence explained. Learn how technology risk impacts patient safety, regulatory compliance, valuation and post-merger integration.
How to Turn AI into an Organisational Capability (Not a Side Project)
Learn how to turn AI into a true organisational capability by embedding it into strategy, teams, and processes.
Why AI Modernisation Gets Faster But Still Fails
AI-driven modernisation is accelerating, yet 80% of projects still fail. Discover why verification is the real bottleneck to success.
M&A Technical Due Diligence in Financial Services: Sector-Aware Technology Assessment
Technical due diligence in finance requires a custom approach. Learn how regulatory tech risk, legacy systems, and data can impact valuation.
Unpacking TOON: A Token-Oriented Alternative to Traditional JSON
Explore TOON, a token-oriented alternative to JSON that reduces LLM token usage by 30–50%, lowering costs and improving performance in AI workflows.
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 AI Review
Your monthly source for AI and software related news.