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Enterprise AI spending is outpacing the data foundations meant to support it. Gartner projects that organizations will abandon 60 percent of AI projects through 2026 for lack of AI-ready data, and Informatica’s 2025 CDO Insights survey of 600 data leaders names data quality and readiness as the single biggest obstacle between a generative AI pilot and production.
The constraint is rarely the model. It is the data underneath it.
The Enterprise AI Readiness Framework sets out the six conditions that must be true about your enterprise data before AI can generate reliable business value, and shows where each one becomes a concrete first step you can fund on its own. It is built from LumenData’s data governance, master data, and AI-enablement work with global enterprises.
Who it’s for:
- Chief Data Officers and data leaders
- Data architects and engineers
- Business and IT leaders accountable for turning AI investment into production outcomes
Fill in the form below to read the full Enterprise AI Readiness Framework:
Author
Josef Ondrejcka
VP of LumenData's Salesforce Center of Excellence, a Certified Salesforce Application Architect with 15 years of Salesforce ecosystem experience.
