Virtual Workshop

Closing the AI gap: Exceeding executive expectations for AI productivity

In this 35-minute technical workshop, we’ll show you how to use your own engineering data to understand where AI is actually helping, where it’s hurting, and where to focus your next investment. We’ll cover:
How enterprise engineering teams like Expedia, Adobe and Syngenta are using a simple AI Productivity Framework to translate AI-metrics into business ROI.
The MCP server that is moving teams far beyond basic AI adoption metrics to org-wide insights and action-oriented recommendations.
AI workflow automations that are focused on helping developers move code through the SDLC, versus just creating more of it.
*All registrants will receive the recording and our AI Productivity Guide for Engineering Leaders after the workshop.

Sessions

1pm ET on September 17, 2025
11am GMT on September 18, 2025
Preferred Session

About the workshop

The AI disconnect between executive expectations and engineering reality is being felt by everyone. It’s true that AI tools can increase the rate of code generation, but that doesn’t matter if the rest of your pipeline isn’t prepared to deliver more code faster. In this workshop, we’ll cut through the mixed messages and break down how to move beyond basic code generation with a more grounded, actionable way to evaluate AI productivity.
You’ll walk away with
An advance copy of our AI Productivity Guide, outlining a practical, data-driven approach to measuring AI adoption and impact across your teams.
Which leading AI tools best fit different team profiles, and how to compare their downstream impact on velocity, quality & DevEx.
Tactical reporting examples you can use immediately to align AI adoption with your org’s goals.
closing the ai gap

About the guide

We built the industry’s first AI measurement framework to track adoption, impact, and ROI of engineering AI tools – combining quantitative metrics, qualitative developer feedback, and real-world workflow data to help leaders gauge where AI is impacting productivity and quality. Register above to receive an early copy of the AI Productivity Guide for Engineering Leaders in your inbox.