"At Dataminr, AI is a standing item in the company's annual operating plan and a factor in every budget decision, Buchanan said. She views AI adoption as non-negotiable across all functions, enabled by native capabilities in modern SaaS platforms and AI-powered tools that are now accessible to companies of all sizes. That approach positions the CFO as a strategic partner to the CEO, directing capital toward initiatives that drive growth and efficiency, Buchanan said."
"Durn framed Adobe's AI strategy around increasing "organizational velocity"-compressing the time from insight to action in a data-rich environment. Embedding AI across operations allows teams to detect signals faster and respond more effectively, he said. But technology alone is not enough; success also depends on culture, continuous learning, and leaders who bring intellectual curiosity rather than relying on static playbooks, Durn explained."
"For Wasserman, AI adoption in a heavily regulated bank requires balancing speed with risk. With model capabilities advancing rapidly, even a short delay can create a significant competitive disadvantage, he warned. Huntington has responded by building a generative AI risk framework, prioritizing use cases by risk level, and requiring human oversight for higher-impact applications, he said. Those executive perspectives underscore a broader shift now playing out across finance organizations: CFOs are moving from AI experimentation to execution."
AI has risen to a board-level priority that places CFOs at the center of enterprise strategy. At Dataminr, AI is a standing item in the annual operating plan and a factor in every budget decision, with adoption treated as non-negotiable across functions and enabled by native SaaS capabilities and accessible AI tools. Adobe centers AI on increasing organizational velocity by compressing time from insight to action, while emphasizing culture, continuous learning, and curious leadership. In regulated banking, Huntington balances speed with risk via a generative AI risk framework, use-case prioritization by risk level, and required human oversight for higher-impact applications. Finance organizations are shifting from experimentation to execution.
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