Reseña

I am writing to present Intelligent B2B Commerce: Diagnosis, Virtualization, and Automation of Commercial Processes — a rigorous academic work that addresses one of the most pressing gaps in business and management literature: how manufacturers and B2B distributors can systematically diagnose, digitize, and automate their commercial processes using Artificial Intelligence, while maintaining the governance, ethics, and human judgment that no algorithm can replace.
The book presents the B2B Commercial Diagnostic Model (BDCM) — a proprietary five-dimension methodology — alongside a Commercial Intelligence Cycle and a practical implementation roadmap. Structured in 21 chapters and 5 parts, it moves from theoretical foundations through six industry case studies (Pharmaceuticals, CPG, Construction, Technology, Chemicals, and Agro) to advanced AI application, agentic ecosystems, and a first-of-its-kind chapter on Cybersecurity in B2B Agentic Environments — a topic absent from every comparable title currently in print.
What sets this work apart is a deliberate balance between academic rigor and operational applicability. Each concept is grounded in peer-reviewed literature (APA 7th edition, 314 references), yet every chapter concludes with actionable frameworks, diagnostic instruments, and decision matrices directly usable by a CEO, Commercial Director, or AI implementation consultant. Appendix G — incorporating the first academic-secular analysis of Pope Leo XIV's Magnifica humanitas encyclical as a soft governance instrument — further distinguishes this edition as a work that takes the ethical dimensions of AI seriously and systematically.