Modernizing and scaling support operations with generative AI on AWS
TL;DR
Learn how to build a generative AI-based support operations platform on AWS that converts training videos into structured SOPs, applies Retrieval-Augmented Generation to guide ticket resolution, and uses machine learning to predict SLA risk and prioritize work.
Nauti's Take
The approach has real potential, because training videos are dead knowledge today and become searchable once they exist as structured SOPs. The catch sits in the quality of those generated SOPs: if steps, exceptions and ownership do not match real practice, the RAG assistant only scales the error.
Small support teams should measure resolution time and accuracy first, before SLA predictions are allowed to drive prioritization.
Sources
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