Implementing ISO 38507 Governance Implications of the use of AI with IPE

 

ISO/IEC 38507 establishes governance principles for organizations deploying artificial intelligence, addressing critical areas of oversight, decision-making, data use, compliance, and risk management. Research indicates that 70% of organizations lack well-defined AI governance models, and 70% of AI transformation initiatives fail due to inadequate operational foundations.

Integrated Process Excellence℠ (IPE) provides the structured deployment framework that operationalizes ISO 38507's governance requirements across enterprises. By applying manufacturing-proven methodologies refined over 30 years, IPE addresses the fundamental gap between governance principles and operational implementation, solving common challenges including lack of expertise (26% of organizations), unclear accountability structures (70%), and inadequate risk controls (80%).

This paper shows how IPE's six-step methodology systematically addresses each ISO 38507 requirement while solving implementation obstacles that prevent successful AI governance deployment.

 For the complete paper, visit: 

https://drive.google.com/file/d/184tadeQugsFNxmNunLg2llVrOaW6nbmh/view

  

About Integrated Process Excellence℠  (IPE)

Integrated Process Excellence℠  (IPE) deployment framework is a systematic, enterprise-wide methodology that applies manufacturing discipline to all organizational processes in the AI era. It operates through four interconnected phases: Process Documentation (establishing clear, standardized procedures across all functions), Communication (ensuring all stakeholders understand their roles and responsibilities), Measurement and Control (implementing real-time monitoring and feedback systems to track performance), and Continuous Improvement (using data-driven insights to identify and execute optimization opportunities). This framework creates the operational foundation necessary for successful AI integration by ensuring processes are well-defined, measurable, and consistently executed, which in turn generates the clean data and structured workflows that AI systems require to deliver measurable business results. Unlike traditional improvement approaches that focus on isolated initiatives, IPE creates an integrated management system that connects strategy to execution across the entire enterprise, enabling organizations to achieve sustainable operational excellence while maximizing ROI from technology investments.  IPE provides training materials to provide the expected ROI from AI LLMs deployment.

 

Prepared by John M. Cachat

Integrated Process Excellence℠ (IPE)