AI ROI Dataset: 200 B2B Deployments Analysis (2022-2025)

This dataset presents an empirical analysis of 200 artificial intelligence (AI) deployments in French B2B companies between 2022 and 2025. Using structured data collection methods including CRM exports, quarterly interviews, and financial audits, we document median ROI of +347% in Year 1, with an 8-month breakeven period and a 27% failure rate. Key Findings: - 200 AI projects across 10 business sectors - Median ROI: +347% in Year 1 - Success rate: 82.5% (vs. 5-20% market average) - Average breakeven: 8 months - Small budgets (<€15K) achieved 2.1× higher ROI than large investments (>€100K) - Human-in-the-Loop governance reduces critical incidents by 4.3× Dataset Structure: 20 variables including project_id, year, quarter, sector, company_size, revenue, ai_use_case, deployment_type, investment, annual_gain, roi_percent, time_saved, failure status, and human-in-the-loop adoption. Related DOI: - Zenodo: https://doi.org/10.5281/zenodo.17795133 - Figshare: https://doi.org/10.6084/m9.figshare.30795017 Author ORCID: 0009-0007-0785-7305