Floridi Curves: A Methodology for De-Risking AI Implementation Across Industries

AI is transforming industries worldwide — from healthcare and finance to automotive and manufacturing. Yet consistent implementation success remains remarkably elusive. Recent comprehensive studies have documented alarming failure rates for AI initiatives, frequently exceeding 80% across various sectors.1 From our research, it appears that these failures are rarely due to model inadequacies but rather to fundamental misalignments between AI capabilities and inadequately structured supporting environments.

Working with Dr. Luciano Floridi of Yale University, Bruce Benson at FTI Consulting has developed a cross-industry methodology to de-risk AI implementations. Dr. Floridi is considered the father of information philosophy and a chaired professor in the Practice of Cognitive Science and the Founding Director of the Digital Ethics Center at Yale. His study of AI implementation failures and techniques for enveloping AI algorithms with well-designed supporting environments — whether in autonomous cars, robotic warehouses, or in conventional business systems — has become an important cornerstone in this methodology for reducing risk in AI development.

Some of the benefits of the approach and methodology include:

  • Clarity on which AI models and envelopes (the environments and systems around them) must be built and when.
  • A means of achieving a shared vision across disparate groups when designing AI systems.
  • An approach that is easy for any development team to adopt, yet is grounded in strong theoretical foundations.
  • An easily understood communications framework for boards CEOs, and CFOs.
  • Results that support strategic costing and ROI analyses.

Bruce Benson is the author of this paper, in collaboration with Dr. Floridi. Mr. Benson is a Senior Managing Director at FTI Consulting and an expert in advanced technologies and media solutions.

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Footnotes:

1. Cooper, R. G., “Why AI projects fail: Lessons from New Product Development,” IEEE Engineering Management Review 52 (4): 15–21 (June 26, 2024).

Published

January 23, 2026

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Bruce Benson

Senior Managing Director

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