The executive playbook for scaling AI: Start with data modernization

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According to McKinsey’s 2026 AI Trust Maturity Survey (published March 2026), responsible AI maturity is improving overall, but governance and agentic AI controls remain the biggest laggards: only about one-third of organizations have reached a mature level in those areas, even as adoption accelerates. The constraint was never a shortage of AI use cases.

At Lingaro, we’ve helped global organizations deploy AI-powered supply chain, commercial excellence and revenue growth management solutions on platforms including Databricks and we’ve seen the same pattern repeatedly: organizations struggle to generate value from AI when business users don’t fully trust the data, the governance behind it, or its recommendations. Modernization builds that trust. Trust drives adoption. Adoption turns a working model into a business outcome. And AI is no longer just a CIO concern. It’s a C-suite priority.

Data readiness: The foundation of trust

AI systems are only as trustworthy as the data behind...

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