Production-Grade AI: From Boardroom to Build & Beyond

By Lee Crossley

The AI pilot demo went perfectly. The board nodded. The slides looked great.

Six months later, nothing has changed in the numbers.

If that feels uncomfortably familiar, this book is for you.

Most generative AI pilots never turn into systems that move revenue, margin or risk. The problem is rarely the model. It is the gap between a clever demo and a production system trusted enough to touch systems of record.

This book is about closing that gap.

Production-Grade AI is a practical playbook for leaders and engineers who need AI systems that last. Not hype, not theory: patterns, code and hard lessons from teams who shipped and then had to live with the thing.

PART I: EXECUTIVE STRATEGY

Learn what to fund, where to start and how to govern it:

A 12 week operating plan to move one workflow from demo to EBIT visible resultsHow generative AI and LLMs really work, stripped of vendor spinWhy chat interfaces stall and how to redesign workflows end to endHow to build agentic ecosystems with clear scopes, safe boundaries and sensible fallbacksRisk tiers, approval gates and Human in the Loop patterns that scale across a portfolio

PART II: DELIVERY IN PRACTICE

Turn strategy into working systems:

LLMs, prompts and tooling that survive contact with real usersMoving from assistants that answer questions to agents that take actionArchitectures that scale: hub and spoke patterns, orchestration and robust tool callingSecurity, safety and supply chain guidance for the current legal and regulatory landscapeEvaluation harnesses, rollout and rollback strategies, and playbooks for going live

20 CHAPTERS

The book is structured as 20 chapters arranged in 10 mirrored pairs. Every strategy chapter in Part I is matched with a delivery chapter in Part II, so executives and engineers work from the same map.

WHO THIS BOOK IS FOR

CEOs and board members who want to fund the right AI work in the right orderCTOs and CIOs who need architectures and guardrails they can defendEngineering leaders accountable for uptime, observability and securityProduct managers who want to redesign workflows around agents, not bolt on another chat boxTechnical leads who want working Python examples, evaluation rubrics and deployment checklists

Inside: working code, decision matrices, architecture diagrams and real case studies from teams that moved beyond the demo and into the numbers.

• Format: Paperback
• Language: English
• ISBN: B0G4WY4S8H
• ISBN13: 9798276905600
• Release Date: December 2025
• Publisher: Independently Published
• Length: 324 Pages
• Weight: 1.66 lbs.
• Dimensions: 0.7" x 8.5" x 11.0"