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The missing layer: Why enterprise AI fails without a compliant data foundation

Enterprise AI isn't stalling because of the models. It's stalling because the data underneath them isn't ready. This CIO playbook shows you how to fix that—with a blueprint for building a compliant data foundation that scales with your AI ambitions.

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AI initiatives are stalling due to data, not models

60%
of AI projects unsupported by AI-ready data will be abandoned
43%
of AI proof-of-concepts were scrapped before they reached production in 2025
63%
of organizations either do not have, or are unsure if they have, the right data management practices for AI

Most enterprises have the data, but few have the foundation to use it responsibly.

Scaling AI and personalization requires more than just access to data, it requires data that’s accurate, trusted, and fully permissioned—a reality that’s only possible when consent and preference management is unified and enforceable in real-time across every system, region, and brand.

The gap between what's available and what's actually usable is now the defining infrastructure challenge for the modern CIO. Download this playbook to learn:

  • Why fragmented consumer permissions are silently blocking enterprise AI
  • The true cost of un-permissioned data (and how it compounds across the organization)
  • What "AI-ready" actually means for consumer data in 2026
  • The core capabilities every data compliance layer needs
  • A five-phase roadmap from fragmented foundation to AI-ready

Plus, read all the way to the end for a brief diagnostic that will help answer the question ‘Is my consumer data truly AI-ready?’

Close the gap between AI ambition and execution

Your AI ambitions will only move as fast as the data foundation beneath them. This playbook gives CIOs a clear, practical roadmap to close the gap between data that’s merely accessible and data that’s permissioned, governed, and ready for AI.

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