This post shows how to build a custom meeting prep and follow-up assistant using Amazon Quick and Cisco Webex MCP servers. From a single prompt, the agent finds an upcoming Webex meeting, reviews prior meeting summaries and transcripts, and pulls related Vidcast highlights and transcript context. It then searches Webex message threads for unresolved follow-ups and creates a concise prep brief. After the meeting, the same assistant can summarize the discussion and identify action items. It can also find related Vidcast updates and draft a follow-up message for the right Webex space.
The rapid advancement of large language models and integration capabilities allows for the creation of sophisticated AI agents that automate complex white-collar workflows, making solutions like this technically feasible and increasingly necessary for productivity gains.
This demonstrates the practical application of AI agents to significantly enhance white-collar productivity, particularly in ubiquitous tasks like meeting preparation and follow-up, compressing timelines and reducing manual effort.
Traditional manual meeting preparation and follow-up processes are being supplanted by AI-driven automation, fundamentally altering how professionals approach collaborative work and knowledge management.
- · AWS
- · Cisco
- · Productivity software providers
- · White-collar professionals
- · Manual administrative tasks
- · Basic meeting coordination tools
- · Low-skilled administrative roles
Increased efficiency in corporate communication and project management, as AI handles routine information synthesis.
Enterprise software ecosystems will increasingly integrate advanced AI agent capabilities, creating competitive pressure for comprehensive automation solutions.
The definition of 'professional productivity' will shift, with human roles focusing more on strategic decision-making and creative problem-solving rather than information aggregation.
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Read at AWS Machine Learning Blog