Overview
The Enterprise AI Summit is a two-day conference in Portland, Oregon, taking place May 5-6, 2027, at the Porsche Studio Portland, 1432 NW Johnson Street, Portland, OR 97209. It is hosted by Gene Kim, researcher and bestselling author of The Phoenix Project and The DevOps Handbook, and produced by IT Revolution. The summit focuses on how enterprises are using AI and vibe coding in production to advance real business goals, rather than only discussing them.
Who should attend
The summit is designed for technology leaders and teams who are already shipping enterprise AI. The page points to CTOs, engineering managers and directors, staff engineers, and leaders from banking, retail, e-commerce, government agencies, and other large enterprises. Past testimonials also include internal audit leaders, which suggests the audience extends beyond the development organization.
Key questions
Leaders will share experience reports on questions the page describes as not yet fully answered, including:
- What team structures look like when two people do the work of eight
- How code review changes when agents write most of the code
- How to trust and secure services built at AI speed
- How to measure developer productivity when older metrics no longer apply
- How to upskill large numbers of developers quickly
- How AI affects hiring and the role of junior developers
- How staffing and budgeting are changing
- Where new bottlenecks appear, how to remove them, and how to modernize legacy codebases
- Where friction appears outside the development organization and outside the IDE
What enterprises are doing
The page highlights several examples that will be discussed. Technology executives are vibe-coding production applications in about a week and maintaining them afterward. Teams are using AI to fix bugs that have existed in legacy applications for decades. Engineering managers and directors are pushing fixes into production themselves. One emerging team shape is built around one developer, one business expert, and one-day sprints. Some organizations report shrinking their size while increasing net margins.
Format
The summit combines several session types:
- Experience Reports: technology leaders and teams describe what worked, what broke, and what they learned.
- Expert Knowledge: talks and panels on team structure, code review, security, productivity, hiring, and operating at AI speed.
- Frontier AI Labs: demonstrations of emerging tools, workflows, and experimental approaches.
- Leadership Strategies: practical approaches to team development, technology adoption, organizational design, and skill building.
- Networking time: dedicated blocks for peer-to-peer exchange across industries.
The page does not yet publish a detailed agenda or a named speaker list. Visitors can sign up to be notified when the agenda, new speakers, and ticket pricing changes are announced.
Pricing and registration
An individual Enterprise AI Summit Pass costs $1,600. A 4-Pack for a team of four costs $5,500. Group rates are available by contacting events@itrevolution.com. The page also offers a Justification Kit with ROI information, speaker details, survey data, and a ready-to-send email template for requesting manager approval. In a survey of 53 tech leaders who wanted to attend but could not get approval, 66% said budget was the barrier.
Past attendee feedback
The page reports that 100% of past attendees said the summit was worth their time and investment, exceeded their expectations, and was exactly the right size. Testimonials describe a leadership forum with practical discussion, strong peer learning, and a long-running community. IT Revolution states that nearly 12,000 leaders have joined its events over the last ten years, including 555 technology leaders who have taken its stage.
FAQ
- When and where is it? May 5-6, 2027, at the Porsche Studio Portland in Portland, OR.
- How much does a ticket cost? An individual pass is $1,600, and a 4-Pack for a team of four is $5,500.
- Who hosts it? Gene Kim, produced by IT Revolution.
- Who should attend? Technology leaders and teams using AI and vibe coding in production to advance enterprise goals.
