Bridge the gap between engineering speed and financial impact.
For IT leaders, the question is no longer whether AI-assisted development works, it’s how to prove it to the business. While initial gains in coding speed are promising, they don't automatically translate to the bottom line. To move from experimentation to enterprise-wide impact, technology and finance leaders need a shared language that connects engineering velocity to sustainable financial growth.
Built on a decade of DORA research from Google Cloud, DORA's ROI of AI-assisted Software Development report provides a practical framework to help you navigate the complexities of AI adoption. Whether you are managing the initial "productivity dip" of a new rollout or looking to defend your budget for the next fiscal year, this guide provides the calculations and conversation starters you need.
What’s inside:
Navigate the J-Curve: Learn why explicitly budgeting for this "tuition cost" is a necessary investment in learning before long-term ROI materializes.
Reinvest capacity, don’t reduce headcount: Discover why the greatest returns come from reducing unnecessary rework to reclaim engineering capacity—effectively expanding your team’s output without increasing overhead.
Translate metrics into financial outcomes: Bridge the gap between technical performance and financial impact using DORA’s software delivery framework.
Interactive ROI calculator: Use our interactive tool to model your organization’s AI transformation and generate a resilient investment roadmap based on your specific team data.
