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Explore how OpenAI's Technical Success team accelerates enterprise AI adoption through strategic partnerships and proven deployment frameworks in this 17-minute conference talk from the AI Engineer Summit 2025. Learn about OpenAI's organizational structure and the typical enterprise AI customer journey, then discover how to integrate AI as a core component of business strategy through real-world case studies including Morgan Stanley's implementation. Dive deep into agent development as speakers Prashant Mital and Toki Sherbakov share critical lessons learned from building AI agents in production environments, covering key principles such as using abstraction as a tool rather than a crutch, starting with simple implementations, leveraging networks of agents for complex tasks, and maintaining simple prompts while implementing guardrails for edge cases. Gain insights into deployment risk mitigation strategies, transformative outcome delivery methods, and practical advice for building scalable AI applications using OpenAI's platform, with perspectives from experienced Solutions Architects who have guided enterprise customers through successful AI transformations.
Syllabus
00:00 Opener
00:17 Intro and overview
00:40 How OpenAI is structured
1:44 Enterprise AI customer journey
3:02 AI as part of your business strategy
6:54 Morgan Stanley case study
8:00 2025 is the year of agents
9:00 Defining Agents
9:54 Lessons OpenAI learned building Agents in the field
9:56 Lessons: Abstraction is a tool, not a crutch
11:43 Lessons:: Start Simple
13:00 Lessons: Use a network of agents for complex tasks
14:52 Lessons: Keep prompts simple; use guardrails to handle edge cases
16:05 Recap
Taught by
AI Engineer