Modernizing and scaling support operations with generative AI on AWS
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The article discusses using generative AI on AWS to scale enterprise support operations by addressing fragmented knowledge, rising ticket volumes, and SLA pressures. It proposes a solution that automatically creates Standard Operating Procedures from training videos via Amazon Bedrock, applies Retrieval Augmented Generation to guide ticket resolution, and uses machine learning for workload distribution and SLA risk prediction. The system includes an operational intelligence workspace with tools like a video-to-SOP converter, ticket analyzer, and value stream intelligence, plus an analytics layer for dashboards and agentic recommendations. Agentic workflows automate tagging, commenting, and status updates while keeping humans in the loop. The approach aims to capture tacit knowledge, improve end-to-end process visibility, and shift teams from reactive to proactive decision-making. The post also notes adaptability to industries such as finance, healthcare, logistics, manufacturing, and energy.
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