Free Calculator
Quantify the productivity gap between your current AI integration and what Stage 3 teams achieve.
Quantify the productivity gap between your current AI integration and what Stage 3 teams achieve.
Based on the Stanford 55% efficiency gain across 51 case studies.
The AI Engineering ROI Calculator uses a model grounded in the Stanford meta-analysis of 51 empirical studies on AI-assisted development. It measures your team across five dimensions of AI integration and maps them to a three-stage maturity model.
The productivity gap represents the annual GBP value of efficiency gains your team could unlock by progressing to Stage 3 — where AI is integrated across the full software development lifecycle, not just coding.
Individual developers use AI coding tools. No standardised practices, evaluation, or measurement across the team.
Some AI tools standardised. AI-assisted code review in place. Basic testing and documentation automation.
Spec-driven development with AI generating from structured requirements. Automated evaluation harnesses. AI integrated across the full SDLC.
It quantifies the annual productivity gap (in GBP) between your current AI integration and Stage 3 maturity, based on five dimensions of AI adoption across your engineering team.
A Stanford meta-analysis of 51 empirical studies on AI-assisted development found an average 55% efficiency improvement with mature AI integration.
No. Results are shown instantly with no sign-up required. You can optionally save and share your results by providing an email.
The figure is a directional estimate based on your team size, costs, and AI maturity. It illustrates the magnitude of opportunity rather than being a precise financial forecast.