Books about making AI predictable in real work

These books focus on how AI actually behaves inside organizations. Not demos. Not hype. Just clear explanations, practical frameworks, and the limits you need to understand before things break.

Each book stands on its own. Together, they cover how to think about AI, where it fits, and why so much advice collapses once real constraints show up.

Updates, clarifications, and errata are maintained here as the ideas evolve.

AI Governance for Small Business

Make AI Predictable is a practical guide for small businesses that are already using AI and want to regain control without drowning in policy, process, or enterprise-style governance. It focuses on clear ownership, simple risk classification, and proportional controls that real teams can actually follow. This is not legal advice, technical instruction, or ethical philosophy. It is an operational manual for deciding how AI is used, who is accountable, and what happens when something goes wrong, all scaled for organizations with limited time and staffing.

Key Points and Topics

What counts as AI in the business ⋅ Risk tiers based on data and impact ⋅ Practical approval and oversight ⋅ Acceptable use guidance for teams ⋅ Vendor and tool evaluation ⋅ Clear ownership and accountability

Coming Soon

Stay tuned for another publication.

Key Points and Topics