AI Systems in Business
Scaling and Optimizing Your Business with AI — Deploying Generative AI and LLM-Based Agents into Real-World Workflows
About this book
AI has become an everyday business tool faster than almost any technology before it. Modern AI systems can read contracts, answer customers, and run multi-step workflows with real autonomy, giving small teams the reach of whole departments. But when adoption outpaces understanding, companies end up paying for expensive tools nobody trusts.
Consultant and author Thomas Stewart presents a practical guide organized into seven major chapters. The journey begins with strategy and real-world case studies, then moves through models, agents, costs, and security before taking AI systems from pilot to production.
Whether you are planning your first AI project or scaling systems already running in your business, this book provides a structured and practical guide to building AI systems that deliver measurable value and hold up in the real world.
What you'll learn
- Deciding where AI belongs in your business, and where it doesn't
- Choosing models and agent stacks, and whether to build or buy
- Understanding AI pricing, total cost of ownership, and budgeting
- Securing and scaling AI systems in production
Table of contents
- 1Chapter I — Strategy
- 2Chapter II — Models
- 3Chapter III — Agents
- 4Chapter IV — Price & Economics
- 5Chapter V — Safety
- 6Chapter VI — Teams
- 7Chapter VII — Implementation & Operations
Who this book is for
This book is written for founders, executives, managers, and decision-makers who want to adopt AI with confidence, whether they run a company of five or lead a department inside a large organization. No technical background is required.