Chevron’s CFO: Leading the Charge on AI Business Value
Artificial intelligence in finance is rapidly transforming corporate strategy, and few leaders are as uniquely positioned as Eimear P. Bonner, CFO of Chevron, to define its true business value. With a background as both a former chief technology officer and a seasoned finance executive, Bonner offers a compelling perspective on how finance chiefs are guiding AI’s implementation and impact within large enterprises like Chevron.
From Technology Leadership to Finance Stewardship
Eimear P. Bonner began her Chevron journey in 1998, progressively taking on crucial roles in operations and strategy. Her experience culminated in her appointment as Chevron’s first female chief technology officer in 2021, followed by her promotion to CFO in 2024. This blend of technical and financial expertise places Bonner at the forefront of leveraging artificial intelligence in finance to drive company-wide performance improvements.
“We’re uniquely positioned to evaluate whether AI will create value,” Bonner explains. As financial stewards, CFOs possess the analytical tools needed to assess investment decisions and prioritize AI initiatives that make the most significant impact. For Bonner, the central question isn’t simply what AI can do, but how it can enhance performance or address existing challenges within the organization.
Practical AI Applications Within Chevron Finance
Chevron’s finance division, comprising about 3,500 professionals worldwide, is already utilizing advanced AI tools like Microsoft Copilot and Anthropic’s Claude. According to Bonner, artificial intelligence in finance is being applied in several key areas. For example, in investor relations, AI helps synthesize and analyze vast datasets to uncover actionable insights. In audit processes, AI supports Sarbanes-Oxley (SOX) controls, while forecasting and financial planning are enhanced through predictive analytics.
Bonner emphasizes the importance of equipping every finance team member with the skills to use AI effectively. “Think of AI as your partner to glean more insights,” she says, reframing the technology as a collaborative tool rather than a replacement. This approach to change management has accelerated adoption, with AI now integrated into both daily workflows and strategic decision-making at Chevron.
AI’s Role in Corporate Strategy and Innovation
At the enterprise level, Chevron has identified around 15 critical workflows and use cases for AI and advanced analytics. One standout is ApEX, a proprietary AI platform designed to optimize oil and gas resource discovery. Beyond finance, AI powers ambitious “moonshot” projects in exploration and reservoir recovery, often in collaboration with technology partners.
Chevron’s AI strategy is tightly overseen by senior leadership, including CEO Mike Wirth and other top corporate officers. The company has grown its AI-focused team from a small skunkworks group into a robust organization that now spearheads AI adoption across all value chains. This broad, coordinated effort is ensuring that artificial intelligence in finance and operations delivers measurable business value.
Powering Data Centers and Forging Strategic Partnerships
Bonner notes that Chevron’s AI ambitions are not confined to internal processes. The company is also responding to the growing energy demands of data centers, which are critical infrastructure for AI and cloud computing. In the previous year, Chevron announced partnerships with GE Vernova and Engine No. 1 to develop large-scale power projects supporting U.S. data centers, showcasing how the intersection of energy and technology is reshaping the company’s growth strategy.
Empowering Employees and Bridging the Readiness Gap
Despite the progress, industry-wide research highlights a significant readiness gap. A recent Skillsoft Workforce Readiness Report reveals that while 86% of employees are already using AI tools, only one in four feels well-prepared for AI’s workplace integration. Even as 77% of leaders believe they’ve set the stage for AI success, many workers struggle to identify which skills are most critical for the evolving landscape of artificial intelligence in finance and business.
Comprehensive AI governance remains rare, with most organizations relying on informal guidance or lacking clear policies altogether. As Chevron’s experience demonstrates, addressing these gaps through targeted training and clear communication is essential for unlocking the full value of AI.
The New Mandate for CFOs in the AI Era
For finance chiefs like Bonner, the role has evolved from merely funding AI experiments to actively steering where and how the technology creates enterprise value. By ensuring robust governance, upskilling teams, and collaborating with technology partners, CFOs are instrumental in shaping the future of artificial intelligence in finance—not just at Chevron, but across the global business landscape.
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