Is Our AI Investment Paying Off?
ROI quantification across tools and teams. See exactly which tools deliver value, which teams benefit most, and where spend can be optimized.
For VP Engineering & CTO’s
Prove AI ROI to your board — with data, not anecdotes.
Your company spends $50K+/month on AI coding tools. Scout quantifies the return — velocity gains, quality impact, and dollar ROI — so you can make data-driven investment decisions.
The Questions That Keep You Up at Night
Scout answers the hard questions your board and CFO will ask about your AI investment.
Are We Accumulating Tech Debt Faster?
Code turnover monitoring with red-flag thresholds. Track whether AI-generated code sticks or gets rewritten within days, weeks, or sprints.
How Do We Compare to Industry?
Benchmarks from 500+ engineering teams. Know whether your AI adoption, velocity gains, and quality metrics are above or below industry norms.
Guided Investigation, Not More Dashboards
Scout’s AI analyst correlates adoption, velocity, quality, and cost data to answer strategic questions in seconds — not hours of spreadsheet analysis.
Analyzing AI Adoption Trends
Copilot acceptance rate up 18% over 90 days. Claude Code sessions up 3.2x since rollout.
Adoption: StrongCorrelating with Velocity Metrics
Cycle time down 22%. PR throughput up 31%. Coding time reduced but review time increased 15%.
Velocity: Net positive, constraint shiftedChecking Quality Indicators
Code turnover rate stable at 8.2%. Bug-fix ratio unchanged. No regression in code quality metrics.
Quality: No degradation
AI is reshaping your workforce.
Are you measuring what’s changing?
Start with a discovery call. We’ll show you how Larridin gives you complete visibility into your AI transformation in minutes, not months.