From Applied Practice to Knowledge Creation
As I pursue doctoral research in Artificial Intelligence and Machine Learning, my work is evolving from the applied use of existing frameworks and technologies toward the creation of original knowledge. Writing has become a natural extension of that transition.
My professional experience has long focused on applying science, data, and systems thinking to real-world executive decision-making. Through my doctoral work, my focus is expanding toward research-driven inquiry — exploring how AI can augment judgment, improve decision quality, and support leaders operating in complex, high-stakes environments.
Writing as Research and Contribution
I write to translate executive experience, operating responsibility, and advisory work into practical insight that leaders can apply in real organizational settings. My work focuses on how leaders navigate complexity, make decisions with imperfect information, and translate strategy into disciplined execution under real-world constraints.
From Concept to Company: A Practical Business Guide for Founders
Now available on Amazon
It distills applied lessons drawn from years of leadership across data-intensive and execution-driven environments, offering a grounded, experience-based guide to building, operating, and scaling businesses beyond theory.
Upcoming Publications
From Valuation to Closing: The Complete Guide to Selling a Business
Scheduled for release in Q2 2026
This book extends my work into the discipline of business transition and exit strategy. Drawing on advisory experience in valuation, deal structuring, due diligence, and transaction execution, it provides a structured and practical guide for founders and owners preparing to sell a company.
The book examines the mechanics behind pricing, goodwill, asset versus share transactions, negotiation strategy, and the closing process. Rather than presenting abstract theory, it translates complex financial and legal concepts into clear decision frameworks that entrepreneurs and operators can apply with confidence.
RevOps & GTM in the AI Era: Designing the AI-Enabled Revenue Operating System
Scheduled for release in Q3 2026
This book shifts the focus from transaction strategy to revenue architecture — exploring how modern organizations must redesign their go-to-market systems in an AI-enabled environment.
Structured as a practical operator’s guide, the book reframes revenue not as a collection of departments, but as an integrated operating system. It walks through the architecture of the Revenue OS, including ICP design, segmentation engines, pipeline production systems, forecasting control models, retention design, and economic alignment.
A central section examines how AI embeds into the revenue stack, not as a superficial automation layer, but as a revenue intelligence infrastructure that improves signal quality, forecasting precision, and operating leverage.
Beyond systems design, the book addresses cross-functional governance, scaling frameworks from early growth to enterprise maturity, and the evolving RevOps career path in the AI era. It concludes with practical tools, operator artifacts, and structured 30–60–90 day implementation plans.
Designed for RevOps professionals, GTM leaders, founders, and early- to mid-career operators, this work bridges strategic architecture, technical fluency, and real-world execution — providing a blueprint for building durable, AI-enabled revenue systems.
As I continue pursuing dual doctoral research in Artificial Intelligence and Machine Learning and Technology, my writing increasingly extends into research-informed and research-driven work. Future publications will document and test original inquiry, bridging practice and theory while contributing to a broader understanding of AI-enabled decision-making and executive judgment.
This progression reflects a deliberate evolution from applying established knowledge in practice to contributing new insight through structured research. Experience-based and research-centered works will continue to follow as this research advances. New publications will be announced on this page as they are released.
Shahin Tabrizi 