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Desiree
Cain
CFO
FoosFire
Desiree Cain is an experienced Chief Financial Officer with a proven track record across distribution, manufacturing, installation, events, and accounting industries. She has a strong background in business process improvement, financial strategy, budgeting, cash flow management, and analytics, and is skilled in ERP systems including Sage and QuickBooks. Currently CFO at Foos Fire, Inc., Desiree oversees all financial operations and drives efficiency across the business. She has held senior finance leadership roles at companies including New York Tent, McVeigh Global Meetings & Events, and Seating Solutions, where she led initiatives ranging from ERP implementation and cost optimization to strategic planning and business growth. A Bachelor of Science in Accounting from SUNY College at Old Westbury, Desiree combines technical expertise with a problem-solving mindset to create streamlined processes and actionable insights that help businesses thrive. She also provides consulting services to organisations seeking financial guidance, system implementation, and operational improvement.
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07 May 2026 09:15 - 09:45
AI reality check: Separating value from risk in controllership
Many finance teams feel growing pressure to “use AI,” yet few have clear guidance on where it truly adds value and where it creates risk. In controllership, mistakes are costly, data quality is non-negotiable, and blind experimentation can undermine trust fast. In this keynote, Desiree Cain draws on hands-on experience navigating AI adoption before and after acquisition to separate signal from hype. She explores why many AI tools are not yet fit for core accounting workflows, where finance leaders should proceed with caution, and how controllers can adopt AI without compromising accuracy, compliance, or professional judgment. Key takeaways: - Learn how to evaluate AI tools for finance without costly trial-and-error. - Understand where human judgment must remain central in accounting and controllership. - Gain a practical framework for introducing AI responsibly while protecting data integrity, controls, and credibility.