Nearly everyone has adopted AI, and the individual productivity gains are real. So why does so little of it show up at the organizational level?
The answer usually isn't the tools. It's everything downstream of the code, where the time you just saved quietly leaks back out.
Over 12 pages, we look at where those gains actually go, what the delivery bottleneck is costing you, and how AI changes the math on whether your next hire should be an engineer or a platform.
Download the whitepaper for the full picture, and a clear-eyed take on when to build a platform team versus buy one.

"A high-quality platform amplifies the effects of AI adoption on organizational performance."
DORA, 2025 State of AI-assisted Software Development
Eight chapters on the economics of engineering after AI, with 17 cited sources.
Download the whitepaper, or run the one-quarter pilot it describes on a single service.