Building an AI Agent for NetSuite: From Working Auth to Working Agent (Part 2)
The complete implementation guide: building the ADK agent, handling tool calls, and what happens when an LLM meets real ERP complexity.
Building an AI Agent for NetSuite: when "It just works" doesn't (Part 1)
A technical deep-dive into connecting Google's Agent Development Kit with NetSuite's ERP — the authentication challenges nobody talks about, and the research journey that led to a working solution.
Small Language Models: Privacy, Cost and GDPR Compliance for European Businesses
Small Language Models: Privacy, Cost and GDPR Compliance for European Businesses A few months ago, an Italian manufacturing company asked me to review their AI setup. They had integrated a major US-based LLM API into their document processing workflow — invoices, purchase orders, supplier contracts. The system worked well. Then their DPO asked a simple question: "Where does that data go when we send it to the API?"
MCP Protocol: what it is and why your AI stack needs it
The problem with most AI deployments isn't the AI. It's the plumbing. An AI assistant that can reason about complex business problems but can't read your CRM, query your database, or update a ticket is, in practice, an expensive autocomplete. The intelligence is there. The integrations aren't — or rather, every integration is a custom one-off, built against a specific API, maintained separately, and rebuilt from scratch each time you switch tools.
AI Hallucinations: Detection, Mitigation and EU AI Act Compliance
In February 2024, a Canadian tribunal ruled that Air Canada was liable for incorrect information its chatbot had given a passenger — confidently describing a refund policy that didn't exist. AI hallucinations aren't a bug that will be fixed in the next model release. They're a structural property of how LLMs work, and by August 2026 the EU AI Act will require documented mitigation architecture for any high-risk AI deployment. Here's what that looks like in practice.