Measure, Optimize, and Scale AI-Driven Development
GenAI Adoption Analytics
Track how AI shapes coding workflows, where adoption gaps exist, and how usage connects to delivery velocity and business impact.
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Go Beyond Licenses, See Real Usage
Track active users across AI tools (high, moderate, and low adoption).
Identify adoption gaps caused by trust, complexity, or onboarding challenges.
Take targeted actions to accelerate adoption and boost developer confidence.
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Measure AI’s True Impact on Development
Compare AI-generated vs. human-written code to uncover real productivity gains.
Evaluate accelerating delivery or new bottlenecks driven by AI
Correlate AI usage with engineering metrics like velocity, MTTR, and cycle time.
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Optimize AI Adoption Across Teams
Identify which AI tools, models, and languages deliver the most value.
Surface top AI adopters who can champion best practices across teams.
Reveal developers who need extra training and support for smoother adoption.
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Translate AI Adoption into Business Outcomes
Quantify the ROI of AI tools with time saved, code quality improvements, and delivery efficiency.
Generate C-suite-ready reports that connect AI usage to financial outcomes.
Benchmark your AI adoption against industry peers to guide long-term strategy.

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