From the lab
Insights on applied AI.
Field notes on agents, automation, predictive analytics and AI-native products. What works in production, what does not, and how to tell the difference.
How to Calculate AI Project ROI Before You Build It
To estimate AI project ROI before building, measure baseline hours and error costs, net off review time and running costs, then test three honest scenarios.
Read article →Should You Build or Buy AI Software for Your Business?
Buy AI software when a ready tool fits a common task; build when the workflow is specific to you or spans several systems. Decide per workflow, not per company.
Read →How to Choose the Right AI Model for a Business Use Case
To choose an AI model for a business use case, test candidates on your own examples, then compare accuracy, latency, cost per task, data residency and hosting.
Read →What Is RAG, and When Does a Company Knowledge Base Need It?
RAG lets an AI model answer from your own documents by retrieving passages first. A knowledge base needs it when content is large, changing and restricted.
Read →AI Agents in Business: What They Can Reliably Do Today
AI agents reliably handle bounded, repetitive work in business systems when a human approves consequential actions. Here is where they work, fail and pay off.
Read →What Is an AI Audit? Scope, Process and What You Get
An AI audit maps where AI can automate work in your organisation, estimates the hours each change would save, and turns it into a prioritised, costed roadmap.
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