Tommy P. Landry releases new AI governance book

Strategic AI consultant Tommy P. Landry has released The Signal & The Source, a new business book that expands his 2025 AI search strategy work into internal AI governance and operational alignment. The book argues that companies need consistent information, ownership, and oversight across both internal systems and external signals as AI becomes more embedded in business decisions.

Why it matters: - Companies are moving beyond AI experiments and into reporting, customer workflows, sales processes, marketing, and decision-making. - Landry’s framework argues that AI performance depends on the quality of the information, definitions, systems, and signals feeding it. - The book aims to help organizations avoid plausible but inaccurate AI outputs that can distort how a business operates and is understood.

What happened: - Tommy P. Landry released The Signal & The Source: Using HAIF to Govern AI Across Internal Operations and External Visibility. - The new book follows his August 2025 title, From SEO to AEO to GEO: The New Rules of Search in the Age of AI. - The book is available through Amazon in Kindle and print editions. - Landry also linked the release to his LinkedIn profile in his announcement: Tommy P. Landry on LinkedIn.

The details: - The book centers on HAIF, the Human + AI Framework. - HAIF is designed to help companies decide what AI should read, where human judgment should stay involved, who owns key definitions and decisions, and how output should be monitored over time. - Landry describes AI strategy as a continuum that starts with executive leadership and extends through internal operations to external signals used by search engines and AI platforms. - The book says leadership must set strategy and operating principles first. - Teams then need to apply those principles consistently across data, systems, reporting, workflows, content, and public information. - The book connects internal business information such as CRM records, reporting systems, documentation, policies, definitions, and workflows with external signals such as websites, public profiles, and third-party information. - Landry argues that companies need accurate, consistent, well-governed information and human accountability for consequential decisions. - The book is written for business leaders, marketing and revenue executives, AI leaders, operations teams, and others responsible for bringing AI into established organizations. - The book focuses on a repeatable framework rather than on individual tools or prompt techniques. - Landry says the framework is meant to remain useful as platforms and technologies change.

Between the lines: - The release reflects a shift from treating AI as a content or search problem to treating it as an organizational governance problem. - Landry’s message is that external visibility and internal operations are now linked by the same data discipline. - The book builds on the idea that companies cannot assign AI ownership to isolated teams and expect alignment across the business. - Landry also frames Search Engine Optimization, Answer Engine Optimization, and Generative Engine Optimization as parts of a larger change in how machines interpret businesses. - The core warning is that AI failures often start in the underlying business systems, not at the prompt.

What's next: - Landry positions the book as a practical framework companies can keep using as AI platforms evolve. - The next challenge for companies is applying that framework across leadership, operations, and public-facing information at the same time. - Landry’s broader AI and search work appears set to continue focusing on how businesses are interpreted by machines, not just how they rank in search.