The AI-Ready Finance Leader: How to Lead, Decide, and Thrive When Technology Does the Work

Note: The Live Virtual course is presented in collaboration with CPA Western Provinces. The content is applicable to all participants. If you have questions regarding this course, please contact pdregistration@cpaalberta.ca.

Overview:

Artificial intelligence is transforming finance functions, creating opportunities to automate routine work, enhance decision-making, and improve organizational performance. As AI adoption accelerates, finance leaders must rethink how they lead teams, apply professional judgment, and create value. This interactive course explores the leadership skills and strategic mindset needed to navigate the evolving role of finance, helping you leverage AI effectively while strengthening the capabilities that remain uniquely human.

As AI becomes increasingly embedded in finance processes and workflows, many organizations are looking to leaders to guide adoption and translate technological potential into business value. This practical course explores how finance leaders can build confidence in AI-enabled environments, support their teams through change, and focus on the strategic, relationship-based, and judgment-driven activities that drive meaningful outcomes. Drawing on industry experience and finance leadership insights, you will gain a practical framework for leading successfully in the AI era.

Course Content:

In this course, you will gain knowledge about the following topics:

• How to identify which parts of your role AI should own — and which parts define your value
• How to lead a finance team that is skeptical, overloaded, or afraid of being replaced
• How to move from reporting the past to shaping the future

Who Will Benefit: 

CFOs, Controllers, Finance Directors, and senior accounting professionals in public practice or industry who are accountable for AI adoption decisions, team capability development, or the strategic direction of their finance function. Particularly relevant for leaders who feel the pressure to "do something with AI" but want a practical, judgment-based framework rather than vendor pitches or theory.