Deploying transformative solutions in today's fast-evolving AI landscape is challenging. In this session, we'll share how OpenAI's Technical Success team partners with customers to accelerate AI adoption, mitigate deployment risks, and deliver transformative outcomes through hands-on collaboration and a proven engagement framework. We'll share real-world case studies, explore key insights from our customer partnerships and leave plenty of time for open Q&A. Join us!
Recorded live at the Leadership Track Session Day from the AI Engineer Summit 2025 in New York. Learn more at https://ai.engineer and purchase tickets to our next event, the AI Engineer World's Fair, in SF June 3 - 5 here: https://ti.to/software-3/ai-engineer-worlds-fair-2025
About Prashant
Prashant Mital is a Solutions Architect at OpenAI, where he helps customers build and deploy AI applications using OpenAI’s platform. Before OpenAI, Prashant was one of the first Deployed Engineers at Retool, where he helped grow key enterprise accounts and later founded the company’s Professional Services function. Earlier in their career, they trained as an applied physicist and worked on distributed systems and data infrastructure across various industries.
About Toki
Toki Sherbakov leads the Solutions Architecture team at OpenAI. His team is responsible for ensuring enterprises are successful in building scalable and high-impact production applications with the OpenAI API platform. Prior to OpenAI, Toki spent 2 years growing and leading the Deployment team at Peregrine Technologies (technology startup serving state and local government customers in the US), and 5 years prior to that at Palantir Technologies driving GTM efforts.
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