Nine books on running AI with operating discipline.
Nine books. One operating system. The Operating Discipline for AI Library™ is the nine-book series behind the AI Operating System — the complete framework for bringing AI under business control, from enablement through governance to the three security disciplines AI has structurally changed. Each book maps to one of the nine service lines at SRJ Consulting & Services, with the frameworks, case patterns, and working templates a leadership team uses to bring AI under operating control.
Nine books mapped one-to-one against the nine service lines at SRJ Consulting & Services. Each book is a working methodology, not a survey, the frameworks, case patterns, and templates a leadership team uses to bring AI under operating control. Volumes I and II are available now; Volumes III through IX are forthcoming.
AI Business Services™
Operating discipline, measurable performance, and financial visibility. Business-first, not technology-first. Four books that take a leadership team from its first AI audit through full operating maturity.
The AI Business Enablement Audit™
Available NowThe diagnostic foundation of the series. A structured, plain-English evaluation of how AI is operating across a business, what it is costing fully loaded, and whether it is producing measurable outcomes.
View the book →The AI Readiness & Performance Assessment™
Available NowA forward-looking evaluation of whether the organization is prepared to scale AI responsibly — workflow maturity, data quality, internal controls, and the measurement infrastructure that AI depends on.
View the book →The AI Risk & Governance Review™
Available NowThe governance discipline of the Library. A 6-Step Review that turns AI use cases into a per-use-case dossier a regulator, an acquirer, a carrier, or a board can read in one sitting. The AI Governance Framework Crosswalk maps the artifacts to ISO/IEC 42001, the NIST AI RMF, the EU AI Act, NYC Local Law 144, and SR 11-7. Plain English; no background in AI law or formal standards required.
View the book →The AI Efficiency & Process Optimization™
ForthcomingOnce AI is understood and governed, this book turns to operational effectiveness — repeatable processes, reduced manual effort, and labor savings that are genuinely captured. The closing volume of Pillar I.
Read more →AI Risk Governance & Security™
Protection and exposure management. Books 05 through 09 of the canon cover the audit, the governance machinery, and the three security disciplines AI has structurally changed: product, application, and cloud.
The AI IT Security Audit™
ForthcomingA CISO-grade audit framework for proving AI exposure is known, controlled, and governed — an exposure map, remediation roadmap, regulatory crosswalk, and board briefing across the six domains.
Read more →The AI IT Security Implementation & Strategy™
ForthcomingThe operating manual for proving AI risk is governed — ratified policies, an integrated risk register, a regulatory crosswalk, and board reporting that survives the question. A discipline to operate, not a project to complete.
Read more →Secure by Design in the Age of AI™
ForthcomingEngineering velocity is up an order of magnitude. Security review capacity is not. The Dual-Impedance Problem and the five-framework operating model that closes it for organizations shipping AI-enabled products.
Read more →Application Security in the Age of AI™
ForthcomingEvery AppSec tool was built on the premise that an application produces the same output for the same input. AI invalidated that. The Runtime Determinism Gap and the AppSec program model for applications that no longer behave deterministically.
Read more →Cloud and Infrastructure Security in the Age of AI™
ForthcomingCloud security was built on the premise that every meaningful action could be traced to an accountable human. AI broke that. The Sovereignty Problem and the cloud security operating model for an era where most actors are not human.
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