Apply for MAST-P Support

Michigan manufacturers: Access capital and support services through the Michigan Auto Supplier Transition Program (MASTP) and position your business for the future of mobility.

The Battery Show North America

OCTOBER 12-15, 2026, Huntington Place, Detroit, MI

Automation Alley Trade Missions

Your Gateway to New, High-Growth Markets.

Join Project DIAMOnD Academy

Register for the Integr8 2026 Series

Register for AME 2026

July 29-30 in Grand Rapids, MI 

Why it’s time to move on from your old automotive product development cycle

by | Jul 31, 2026

Summary

Automotive manufacturers can accelerate product development by addressing foundational issues—such as fragmented data, disconnected systems and unclear governance—before investing in new technology, enabling faster, more predictable product releases.

Automotive manufacturers are under increasing pressure to move faster, but many are still operating within development cycles that were designed for a different era. And despite investments in engineering, manufacturing and digital capabilities, it can still be a struggle to see real progress in speed.

Increasing release velocity requires more than new technology. It depends on how effectively organizations manage data, integrate systems and establish clear governance across the automotive product development cycle.

What limits product development speed and release velocity?

In most cases, the limiting factors for release velocity are not vision or strategy, but execution. Three core constraints consistently slow progress: Data readiness, integration and governance.

Data readiness

Many automotive manufacturers already capture critical financial and operational data, from production volumes to product development costs. However, this data isn’t always structured or used in a way that supports faster product development.

Consider the quoting process. In many organizations, quoting remains dependent on completing new designs and sending them out for pricing, which introduces delays. A more effective approach is to use historical data from previous designs as a baseline so that teams can focus on updating variable inputs such as material costs and current market pricing rather than starting from scratch.

It’s also important to look at how you’re managing data. When data is siloed, inconsistently structured or of poor quality, it undermines confidence in decision-making. Leaders can’t reliably use insights from past releases to inform future development, which limits both speed and innovation.

Read this article in full here.

WIPFLI

Wipfli brings the curiosity needed to uncover what’s been overlooked. Our ingenuity helps create unexpected results. Our team of more than 3,200 associates works together to bring integrated solutions to turn data into insights, to optimize workflows, to increase margins and to transform through digital innovation.

More

Related