Traditional IT workflows are often unsuitable for AI model training because they focus on rigid sequences rather than business intent and causal logic. This document argues that relying on such deterministic documentation leads to AI systems that lack operational intelligence and are difficult to maintain. To address these shortcomings, the author introduces the Integrated Process Excellence (IPE) framework, which organizes knowledge into a flexible hierarchy of Areas, Activities, and Elements.
This structured approach
provides the necessary context, such as key performance indicators and
accountability, that allows AI to understand why decisions are made. By
utilizing IPE Packs, organizations can create a sustainable and auditable
foundation for governable AI deployments. Ultimately, the text positions
IPE as a superior method for transforming raw data into actionable
business insights.
For the article:
https://drive.google.com/file/d/1yIOTvIzAZ3o-G2E_IFhAhGJCBvmERDZc/view
For the video:
https://youtu.be/g1oa5XxnnhY
John Cachat
johncachat@ipe.services
www.ipe.services
Reference Material
https://www.amazon.com/stores/John-Cachat/author/B0G4NB66MD
LinkedIn Articles
https://www.linkedin.com/in/johncachat/recent-activity/articles/
https://www.youtube.com/@ipeservices/videos
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