How Elite Engineering Teams Turn AI Into Results - The RACER Framework

A data-backed masterclass on how leading engineering organizations are operationalizing AI and turning adoption into measurable delivery impact.

Overview

Most engineering teams have AI tools in place. Far fewer have a clear way to scale adoption, measure impact, or remove the bottlenecks that limit results.

Based on interviews with CIOs and engineering leaders, Plandek developed the RACER Framework – a practical operating model for teams transitioning from traditional software delivery to AI-augmented engineering.

In this session, we unpack what high-performing teams are doing differently. You’ll learn how to move beyond experimentation and build the foundations required for sustained, measurable gains in delivery, quality, and flow.

What You’ll Learn

How leading teams track real AI adoption and impact
Why most AI initiatives stall at the pilot stage
The five pillars of the RACER Framework and how they work together
The constraints that most often block AI-driven productivity gains
How engineering operating models must evolve for AI-augmented delivery
What to measure to prove AI is improving delivery, not just activity

Who This Webinar Is For

Engineering and technology leaders responsible for:

Software delivery performance and predictability
Developer productivity and experience
AI adoption and engineering transformation
Software engineering intelligence and metrics
Aligning engineering outcomes with business goals

Hosted by

Will Lytle

Chief Operating Officer

Will is COO at Plandek, where he leads the commercial function – driving growth through new partnerships and supporting clients to get the most from the platform. Since joining in 2019, he’s helped technology organizations harness Software Engineering Intelligence to work smarter, deliver faster, and achieve meaningful business impact through greater visibility and performance in software delivery.