Download the SURGE Paper
SURGE FRAMEWORK
The framework for proving engineering AI ROI.
Every AI tool reports usage. None report output. SURGE connects AI spend to the code that actually shipped, analyzed across 4,100 licenses and $4.78M in annual AI spend. Know it. Prove it. Improve it.
What's SURGE Framework?
SURGE measures the full path from AI dollars to delivered code.
One framework, five answers: what you spend, who uses it, what you can recover, what it produced, and whether your team got better.
Spend
Where the AI dollars go: cost by tool, model, team, and token usage.
Utilization
Who actually uses AI, where, and how much sits idle.
Recovery
How much budget is recoverable: wrong models, zombie agents, overlapping licenses, over-committed contracts.
Gain
What the spend produced: AI-attributed code in production, cost per PR, feature impact.
Efficiency
Whether engineering output actually improved: speed, quality, rework, and throughput.
What makes SURGE different?
SURGE replaces estimates with hard telemetry. We track real spend, active utilization, recoverable waste, and AI-attributed code that actually merged. True returns live in your engineering system, not the tool - and SURGE measures whether that system is turning spend into output.
Run the SURGE model on your data to calculate AI ROI.
Find budget leaks and uncover your hidden recoverable dollars.
A rollout call you can back with evidence.
The free self-assessment: A first read on your own AI leverage.
Use concrete data to prove team readiness before expanding AI adoption.
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