Enterprise AI
Shipping AI inside real businesses, from the first pilot to systems that run every day.
20 essays, newest first
- The AI-First Company An AI-first company is not one that bought AI tools. It is one that rebuilt its org chart so an agent is the default operator of a process and a human owns the judgment call. Here is what actually changes, because I changed it in my own company first.
- What are AI Agents in Easy Words An AI agent is a system that does not just answer questions but takes real actions: reading, deciding, and using tools to complete a task. Here is what makes agents different from chatbots, why they matter for business, and how to think about deploying them.
- What is Agentic AI in Easy Words Agentic AI means AI systems that operate with autonomy: making decisions, taking actions, and coordinating with other agents without a human approving every step. It is the buzzword every vendor is using. Here is what it actually means and what it changes for business.
- The AI Glossary: Every Term Explained in Plain English RAG, LLM, embeddings, fine-tuning, agents, MLOps, GEO: every AI term you need to understand, defined in two sentences and explained in plain English. Bookmark this page.
- Build vs Buy vs Partner: How to Choose Your AI Delivery Model Every company reaching for AI faces the same decision: build it yourself, buy an off-the-shelf product, or partner with a specialist. Most choose wrong because they optimize for the wrong constraint. Here is the framework I use with clients.
- Pharmacy AI Helper: How We Built a Recommendation Engine for 100+ Pharmacy Locations Pharmacists cannot memorize thousands of products. We built an AI system that scans any product and instantly returns alternatives, complementary items, and treatment protocols, powered by 2M+ medical relations. Here is how it works and what it changed.
- How We Built an AML System at Silent Eight: From Rules to AI Anti-money-laundering compliance used to mean rule-based systems that missed name variants and flooded analysts with false positives. Here is how we replaced that stack with AI at Silent Eight (solve rate from 45% to 87%) and what we learned shipping it.
- From Paper Chaos to Voice AI: How We Automated a €2.3M Clay Mining Operation Every truck arrival at a Spanish clay quarry triggered a 4-person paper relay across language barriers. We replaced it with a one-button voice app. Here is how we built it and what it changed.
- What Does a Chief AI Officer Actually Do? A Chief AI Officer is not a VP of IT with a new title. The role is about deciding where AI creates business value, building the systems that deliver it, and governing the risks. Here is what the job actually involves, and why most companies get the hire wrong.
- What is Fine-Tuning in Easy Words Fine-tuning in plain words: what it changes in an AI model, when to use it instead of RAG, and when a small specialist model can beat a big one.
- What is GEO (Generative Engine Optimization) in Easy Words GEO means optimizing your content so AI engines like ChatGPT, Perplexity, and Google AI Overviews cite you when they answer questions. It is the new SEO. Here is how it works, why it matters, and what to do about it.
- How to Implement AI in Enterprise: A Practical Guide Most companies fail at enterprise AI not because the technology is hard, but because they skip the fundamentals. Here is the playbook I use with banks, pharma chains, and industrial operators, from first assessment to production deployment.
- What is an LLM in Easy Words An LLM (Large Language Model) is an AI trained on massive amounts of text that can generate human-like responses, answer questions, and reason about language. Here is what it is, how it works, and why it matters (without the math).
- What is MLOps in Easy Words MLOps is the plumbing that makes AI work in production. It is how you deploy models, monitor them, retrain them when they drift, and make sure they do not break at 3 AM. Here is what it is and why every AI system needs it.
- I Engineer Illusory Truth for Machines. It's Called GEO. The rule that wins my brand work is to repeat one sentence in the same shape across enough places until a model says it back as fact. That is a named cognitive bias, run on a machine, and I bill for it. A field note on the part I cannot put down.
- Your Notes Are Not the Deal My overnight agent called two live deals dead because it read my folders, not the deal. Why a self-kept record goes quiet exactly where the work is hottest.
- What is RAG in Easy Words RAG in plain words: how an AI looks things up before it answers, where it still goes wrong, and when to use it instead of fine-tuning.
- The Internet of Agents A blueprint for cities and enterprises where software agents coordinate across silos at machine speed. The architecture, the layers, the rollout.
- VERA: Retrieval You Can Verify A blueprint for a RAG system that earns trust. Hybrid search, a graph of facts, and an agent pipeline that checks its own answer before it ships.
- Orchestration Is the System: AI Models Are the Easy Part The hard part of AI is not the model but the orchestration that decides when the model is wrong. The hire you need is a Chief Process Officer who speaks AI.
