Program measurements on tracked delivery work, Dec 2025 – Jul 2026 cohorts, 170+ engineers. Not survey self-reports.
The best independent figure is ~2x (Stanford/CMU 2026, 802 developers, quality held). Our cohort numbers are program measurements, not independent research. What makes them comparable: a baseline before and a measurement after; quality and documentation held, not just output; a practice documented across product, development and QA. Every engagement sets its ROI target before spend and measures after.
Baseline first, on the team's own delivery data — throughput, cycle time, rework, defects and incidents, on the tracking they already use. Tracked work only. Speed and quality together, always. Competency evidence rather than completion.
50%–60% faster software delivery with AI Sprints Coaching — the first cohort's measured evidence, and they have continued accelerating since.
Publicly announced its AI Sprints Coaching initiative: AI adoption built on supported teams, human judgment, and quality. The first complete team changed its practice in two weeks.
A 45-minute benchmarking and planning call. You leave with a baseline we can measure against, an ROI target set before any spend, and the shape of a first cohort — roles, format, dates. No preparation needed beyond deciding who should be in the room.