How to Automate Business Processes with AI Agents
AI Summary
In this video, the speaker discusses how AI agents can effectively solve business problems using a model-context protocol (MCP). The video highlights the evolution from structured data and programming to using generative AI, allowing users to manipulate data without the need for programming knowledge. AI can handle messy, unstructured data, which enables faster problem-solving. The video outlines the four steps humans take to solve problems and how generative AI can optimize the research phase. Business examples, such as chatbots addressing customer inquiries and AI agents automating workflows, are presented to illustrate AI’s potential in various industries. The speaker encourages viewers to identify unstructured data in their companies that AI agents could help manage for better decision-making and efficiency. Lastly, viewers are invited to subscribe for more insights and visit the website for visual summaries of the content.