“How Did We Train the AI Model About Our Business?”
(Loading
Data Does Not Count)
Corporate boards must move beyond surface-level AI inquiries to ask the fundamental question of how a model was truly trained on their specific business logic. The author asserts that merely loading data or indexing documents is insufficient, as it fails to teach the AI the causal relationships, process owners, and control limits that drive actual operations - both manufacturing and non-manufacturing.
To bridge this gap, the text promotes the Integrated Process Excellence (IPE) framework, which transforms undocumented tribal knowledge into a governed, structured format that an AI can reliably follow. By identifying Key Input, Process, and Output Variables, organizations can ensure their AI initiatives are grounded in operational reality rather than just linguistic fluency.
Ultimately,
the paper serves as a guide for executives to establish genuine AI
accountability and avoid the risks associated with unmanaged, data-only
implementations.
For the
article:
https://drive.google.com/file/d/1nBP-j4cmMIBr4g0qA8x0K2kFViwciKYK/view
For the
video:
John Cachat
johncachat@ipe.services
www.ipe.services
Reference
Material
https://www.amazon.com/stores/John-Cachat/author/B0G4NB66MD
https://www.linkedin.com/in/johncachat/recent-activity/articles/
https://www.youtube.com/@ipeservices/videos
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