For CTOs & Engineering Directors

Your AI tools tripled your PRs. Your shipping speed didn't change.

The bottleneck moved. Guardian shows you where.

The Review Tax

The generation-review imbalance

Individual speed went up. Organizational velocity didn't.

Your senior engineers are stuck reviewing instead of building. The Review Tax is real.
AI review bots generate comments by the dozen, but most lead to zero code changes. Noise, not signal.
You championed AI adoption. Now you need language for the board that goes beyond "developers love it."

1:24

Generation-to-verification ratio

For every hour of AI-assisted code generation, teams spend 24 minutes on verification that didn't exist before.

30-60%

AI bot effectiveness

The percentage of AI bot review comments that lead to actual code changes. Human reviewers average ~90%.

PR volume increase

AI tools tripled PR output. But if reviews don't scale, the queue grows. That gap compounds with every PR.

That gap compounds with every PR your AI tools generate.

Every reviewer profiled — human and bot. Know who drives changes and who generates noise.

For each AI tool in your stack, see the real ratio of actionable comments to noise. Across repos and teams.

See where your most experienced engineers spend review cycles. Reclaim their time for architecture work.

Track whether the gap is growing or shrinking. Week over week. Correlate with tool changes and team events.

Under the Hood

Guardian is not an AI wrapper. It is a statistical analysis engine.

Comment-to-change attribution across your entire git history. Real causation, not correlation.
Edge case handling: valuable rejections (a "don't change this" that prevented a bug) are counted as effective.
Rubber-stamping detection: high "approval" rates may indicate compliance, not quality.
No agents in your CI pipeline. No code changes. Read-only access to your PR data.

A technical walkthrough with your actual repository structure in mind.