Enterprise AI scaling pipeline diagram showing pilot projects failing and succeeding in business production environments

Why 70% of AI Pilots Never Scale | And How the Other 30% Do It Right in 2026

Most enterprise AI projects die between proof of concept and production, and the reason is rarely the technology. This analysis breaks down how to scale AI in business using a six-cause failure taxonomy, a five-level maturity scorecard, and a 90-day sprint framework grounded in research from IBM, Harvard Business School, KPMG, and Gartner. If your organization is stuck in pilot purgatory, this is the operational playbook to get out.

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