A Guide to Measuring AI Adoption, Impact, and ROI in Engineering
Impact That Compounds
Prove what AI is actually doing for your engineering org Every engineering organization bought AI tools. Almost none can prove what they got for it. In 2024 the question was whether to adopt AI coding tools. In 2025 it was how fast. In 2026 the question changed. Boards and CFOs now ask a harder one: what did we get? Engineering leaders who could approve six figures of Copilot, Cursor, and Claude Code spend on instinct are now expected to defend that spend with numbers.
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5 chapters covering the full AI measurement stack: from per-team baselines and the five metrics that matter, to an operating model built on goals, automated signals, and privacy-safe roles, the failure modes that kill measurement programs, and a phased 90-day implementation plan ending in a CFO-ready readout.
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