WHITEPAPER
Measuring AI Productivity in Software Delivery
AI & innovation
Every leadership team in software delivery is asking some version of the same question: what productivity gains are we getting from AI, and what should we expect over the next twelve months?
These are reasonable questions.
They are also, increasingly, the wrong ones.
The confident single-number answers they produce are doing more harm than the uncertainty they were meant to resolve.
This paper sets out why, drawing on the current research literature and on anonymised findings from our own enterprise engineering work in regulated, large-scale environments.