Scaling AI With Trusted Data Foundations

PwC's Munoz on Reusable Architectures, Strong Governance for Enterprise AI Value Michael Novinson (MichaelNovinson) • November 25, 2025

Organizations gain meaningful value from artificial intelligence when they move beyond isolated pilots and build repeatable architectures that reduce development time and cost. A factory-style model creates patterns that support faster delivery and improve consistency across new use cases.

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Diego Jarne Munoz, partner at PwC, focuses on helping enterprises build these scalable structures and the data foundations that support them. Many organizations deploy AI before normalizing or governing their data, which creates technical debt.

"The best measure of success is adoption, not having the most reliable model, but it's the business adoption. A lot of organizations are struggling to really adopt AI, so something like lineage and a marketplace is going to be fundamental to enable that," Munoz said.

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