Close the five gaps preventing enterprise AI from scaling

2026

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AI-generated summary

1) This guide addresses the critical gaps in searchability, context, trust, governance, and operating models that prevent enterprise AI from achieving its full scaling potential.
2) * Explores the five key gaps hindering enterprise AI scalability, including fragmented data, low trust, missing context, manual governance, and unclear operating models.
* Defines "AI-ready data" as searchable, contextual, and trusted data that AI systems can safely find, interpret, and use for reasoning and governed action.
* Outlines how KPMG helps organizations identify and close these gaps to enable explainable, defensible, and scalable AI outcomes.
3) AI, data readiness, enterprise AI, scaling, KPMG

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