Insights
Practical AI, minus the hype
What actually works for business — RAG vs fine-tuning, where automation pays off, and how to ship AI that's reliable.
How we build a hallucination-resistant RAG assistant over legislation
The architecture we use for high-stakes RAG — hybrid retrieval, reranking, and a multi-layer verifier — so an AI assistant over legal or regulated text answers only from the source, with citations.
Read article →Measure before you automate: bringing AI into customer operations safely
A practical, anti-hype playbook for bringing AI into a busy customer inbox: measure in “watch and report” mode first, keep people on the judgement calls, automate once proven.
Read article →Where Cyprus SMEs actually save hours with AI automation
Practical, non-hype examples of where small and mid-sized Cyprus businesses get real time back with AI and workflow automation — and how to spot your own opportunities.
Read article →RAG vs fine-tuning: which one does your business actually need?
A plain-English guide to choosing between retrieval-augmented generation (RAG) and fine-tuning for a business AI assistant — and why most companies should start with RAG.
Read article →How a RAG chatbot answers from your own documents (without making things up)
A clear walkthrough of how a retrieval-augmented chatbot turns your PDFs, policies and product data into accurate, cited answers — and how we keep it from hallucinating.
Read article →n8n vs Make vs Zapier: which automation tool should your business use?
A practical comparison of n8n, Make and Zapier for business workflow automation — cost, flexibility, and when a custom solution beats all three.
Read article →AI for Cyprus retail: practical ways e-shops cut admin and sell more
Down-to-earth ways Cyprus retailers and e-shops use AI and automation — from product search and support to VAT-ready back-office — without the hype.
Read article →