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Description

AI is redefining what’s possible in federal financial management, from automating reconciliations and reporting to enhancing audit readiness, risk analytics and budget insights. In this moderated discussion, senior finance executives will share how their agencies are exploring and implementing AI to drive smarter, faster and more reliable financial operations. We will highlight practical use cases, lessons learned and what’s needed to scale AI responsibly across the CFO community.

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  FOS: FINT (Finance-Technical)

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Key Takeaways

• AI is already delivering measurable value in federal financial management today, with concrete use cases across the financial lifecycle.
• Effective AI initiatives depend on strong data foundations, sound internal controls and close collaboration between finance, IT and mission stakeholders.
• Responsible AI in the CFO community requires clear governance, transparency and upskilling the workforce to build trust with auditors, oversight bodies and the public.

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Learning Objectives

Describe how AI tools can automate and enhance core federal financial management activities such as reconciliations, reporting, audit readiness, risk analytics and budgeting. Analyze real-world AI use cases shared by federal CFO organizations and identify where similar approaches could be applied within attendees’ own agencies or programs. Recognize the key enablers and guardrails for scaling AI responsibly in financial operations, including data readiness, internal controls, governance and workforce change management.