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[White Paper] AI ROI Benchmarks: Longitudinal Study of 200 B2B Deployments (2022-2025) 

Wed February 04, 2026 08:38 AM

This research entry provides empirical benchmarks for GenAI implementation success. Based on a 3-year longitudinal study of 200 B2B deployments, it introduces the Efficiency Pods modular architecture.

Key Findings:

  • Median ROI: 159.8% across validated cases.
  • Framework: Modular integration of LLMs within legacy workflows.
  • Governance: Human-in-the-Loop (HITL) impact on stability.

Resources:
Technical Dataset: Access on GitHub
Researcher ID: ORCID 0009-0007-0785-7305

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AI ROI Analysis - Evidence from 200 B2B Deployments (202...   689 KB   1 version
Uploaded - Wed February 04, 2026
This comprehensive working paper provides empirical data on the economic performance of Generative AI and Machine Learning in enterprise environments. Key highlights include: * Median ROI of +159.8% across 200 French B2B case studies. * Identification of critical success factors: Training (2.1x ROI multiplier) and HITL governance. * Analysis of breakeven periods and failure rates (27%) from 2022 to 2025. Author: Denis Atlan (ORCID: 0009-0007-0785-7305). Data is designed to assist CAIOs and AI Architects in establishing realistic implementation benchmarks.
 
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