Generative AI in Business: An Evidence-Based Implementation Guide

73% of enterprise AI initiatives fail to deliver intended outcomes. This guide explains exactly why and gives you the framework to be in the 27% that succeed.

Not a technology guide. Not a vendor pitch. A rigorous, evidence-based implementation framework derived from the research on what actually works when organizations deploy generative AI at scale.

What's inside

• The Kellette Implementation Quality Score: a proprietary framework for evaluating AI initiative design before you commit resources
• The AI ROI Paradox: why the organizations most focused on ROI from AI get the worst returns, and what changes that
• The Human Review Gradient: a decision framework for when and how much human oversight different AI applications require
• ROI calculation methodology with real data from BCG, Harvard Business School, and Microsoft research
• The five-stage implementation framework that consistently produces positive outcomes across industries
• Risk assessment for hallucination, intellectual property, data privacy, and the governance accountability gap
• What the BCG/Wharton study of 758 consultants reveals about who benefits most from AI assistance and why
• A complete cost-of-AI-deployment analysis including the 40-60% of costs most organizations miss

Who this is for

Business leaders, technology executives, and decision-makers responsible for AI strategy who want evidence rather than enthusiasm.

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