Enterprise AI agents playbook Part II: Designing for maximum impact in Box AI Studio
Blog post from Box
The text delves into the practical application of creating, configuring, and deploying AI Agents using Box AI Studio, following an initial understanding of AI Agent foundations. It outlines a six-step process for building business-ready agents, focusing on selecting language models, defining agent capabilities, providing instructions, testing, and deploying agents across tech stacks. Emphasizing continuous improvement, the text highlights the importance of measuring impact, gathering feedback, refining prompts, and driving adoption to scale AI solutions. A case study illustrates how a consulting firm used AI Agents to streamline material inspection reviews, achieving significant time savings and improved decision-making. The text also introduces resources like the Box AI Agent Library to aid users in customizing and scaling their AI Agents for various workflows, ultimately encouraging the development of an Agent-first enterprise where content is transformed into valuable, actionable intelligence.
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