Telecom intern uses GenAI to streamline cloud telephony support across multiple clients

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Vanessa Mendes, a telecom intern, describes how she used Kiro CLI, a generative AI assistant, to manage cloud telephony operations for multiple clients between April and July 2026. Her work spanned Amazon Connect, PBX systems, and AWS infrastructure, where switching between tools like Jira, CloudWatch, and Confluence previously caused context loss and slowed incident response. Over four months, she built a multi-version Amazon Connect callback system with 113 flow blocks, trilingual support, and a Python Lambda, while also developing a VIP client management system backed by DynamoDB. She notes that AI accelerated documentation and context management but was not infallible — an AI-generated interface component failed and had to be rebuilt manually. Her key takeaway is that the real value of generative AI in support roles lies not in speed alone, but in reducing cognitive load and maintaining context across complex, multi-client environments.

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