Your AI tools cost thousands per year. Can you prove they're working?
Guardian gives you a one-number answer for the CFO.
The budget justification gap
Your VP Eng says developers love it. Your CFO asks for ROI. You have sentiment, not data.
- 1
AI tool spend adds up across seats, licenses, and integrations. Renewal cycles demand justification.
- 2
After a production incident traced to AI-generated code, "developers love it" is not enough.
- 3
The board wants efficiency gains measured in outcomes, not tool adoption metrics.
The Review Tax in business terms
40-70% of your AI review bot's output leads to zero code changes. You're paying for noise.
AI bot reviewer effectiveness
Human reviewer effectiveness
Meanwhile, human reviewers sit at ~90%. That gap is your unmeasured cost.
What Guardian shows you
AI Tool ROI Measurement
Know exactly which tools deliver value and which generate noise. Data the CFO can act on.
Risk Visibility
See which reviews catch real issues versus which rubber-stamp AI output. Prevent the next incident.
Tooling Decisions
Keep, tune, or cut. Make evidence-based decisions about your AI tool portfolio.
"Our AI tools have a 67% reviewer effectiveness rate. Human reviewers are at 91%. We're tuning the gap."
Know your numbers before the CFO asks.
A 30-minute walkthrough tailored to your organization. Data, not a sales pitch.