AI value-measurement model

What value is the AI system actually producing?

Illustrate activation, usage, and retained workflow value. This is a supporting model for the AI-SDLC measurement families, not a cloud or infrastructure cost calculator.

👥 Your Team
Number of developers
Total engineering headcount
25
52000
Average annual salary
Fully-loaded cost per developer
€85k
€40k€160k
Senior developers
% who act as primary code reviewers
20%
5%50%
🤖 Your AI Setup
AI tool cost per developer / month
GitHub Copilot Enterprise = ~€39/dev
€30
€0€100
Active AI tool adoption
% of developers actively using AI tools
75%
10%100%
Time spent coding
% of developer time writing code
40%
20%65%

Defaults are based on GitHub, Stanford, and DORA research. Adjust to match your organisation's observed data.

AI coding speed boost
Individual coding speed increase (GitHub 2023 study: 55%)
55%
20%80%
PR size increase with AI
Larger PRs per developer (industry avg: 20%)
20%
5%45%
Senior time on code review
% of senior developer time spent reviewing
30%
10%55%

Estimates use published research defaults (GitHub 2023 productivity study, DORA State of DevOps, Stanford security research). Actual results vary by team, tooling, and SDLC maturity. This calculator is illustrative, not a financial projection.

Live ROI Estimate
Updates as you adjust the sliders
Apparent ROI
€0
Speed gain − tool cost
Real ROI today
€0
After hidden costs
Where your value goes
Gross speed value
+€0
AI tool licence cost
−€0
Review Economics tax
−€0
Security debt cost
−€0
Net real ROI / year
€0
With AI-SDLC Optimisation
Today
€0
→
Optimised
€0
+€0 / yr
additional annual value unlocked
📉
Review overhead is consuming X% of your gross speed gain.
⚡
Your X senior engineers lose an estimated X hrs/week to AI-inflated PRs.
🎯
You're currently capturing X% of your AI tool's potential value.

Use the unlocked analysis in a strategy review, or email Matt directly.

Board-ready unlock

Unlock your comprehensive AI-SDLC efficiency analysis

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