Establishing
reliability in artificial intelligence requires a structured framework because
large language models lack human characteristics like personal accountability,
stable behavior, and continuous learning from mistakes.
While
organizations frequently compare onboarding an AI model to hiring a new
employee, they typically fail to provide artificial systems with adequate
training, orientation, and probation periods. To prevent costly errors caused
by an AIs jagged competence and confident-sounding mistakes, organizations must
implement calibrated trust grounded in strict verification and process
controls.
The
Integrated Process Excellence℠ framework offers a solution by applying a
standardized, six-step methodology that defines, documents, and measures
workflows for both human workers and artificial intelligence.
By
managing AI as a controlled process measurement system or at least as much as a
human colleague, enterprises can accurately evaluate specific tasks, monitor
for performance drift, and safely scale digital capabilities.
For the video:
https://youtu.be/95Ql6Fb6e6M
For the article:
https://drive.google.com/file/d/1ChF3O-pVgXha_YlT5g35a1CZSiQGHcrK/view
John
Cachat
johncachat@ipe.services
www.ipe.services
Reference Material
Books
on Amazon
https://www.amazon.com/stores/John-Cachat/author/B0G4NB66MD
LinkedIn
Articles
https://www.linkedin.com/in/johncachat/recent-activity/articles/
YouTube
Videos
https://www.youtube.com/@ipeservices/videos
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