Topic: The RAISE Framework: A Governance Model for AI Risk in Financial Reporting and Audit
As Artificial Intelligence (AI) becomes increasingly integrated into financial reporting and audit, organizations must address the governance challenges and risks associated with its adoption. This webinar introduces the RAISE Framework, a practical governance model designed to help organizations identify, assess, and manage AI-related risks while strengthening transparency, accountability, regulatory compliance, and stakeholder trust. Participants will gain actionable insights into building effective AI governance practices that support operational excellence and responsible AI adoption in the digital age.
Learning Outcomes:
· Explain the governance challenges and AI-related risks associated with the use of Artificial Intelligence (AI) in financial reporting and audit.
· Describe the core principles and components of the RAISE Framework as a governance model for managing AI risk.
· Apply governance strategies to strengthen internal controls, regulatory compliance, transparency, accountability, and stakeholder trust in AI-enabled financial reporting and audit.
· Assess how effective AI governance contributes to trustworthy AI, organizational resilience, and operational excellence in the digital age.
Dr. Tulay Guneysel - Founder and President of TG Financial Services Inc.

Dr. Tulay Guneysel is a two-time award-winning professor, international keynote speaker, entrepreneur, author, and AI strategist with more than 20 years of combined academic and industry experience in accounting, finance, auditing, governance, and emerging technologies. She is the Founder and President of TG Financial Services Inc., where she advises organizations on AI governance, financial management, enterprise risk management, internal controls, regulatory compliance, and strategic AI adoption.
She is the author of Ultimate GenAI for Financial Accounting and the forthcoming RAISE Framework: A Governance Model for AI Risk in Financial Reporting and Audit. She is also the co-editor of Advances Use of AI: The Next Wave and the author of the chapter "Red Flags in Code: AI and the Future of Auditing." Her research and publications focus on AI governance, financial reporting, auditing, internal controls, and digital transformation.
Dr. Guneysel holds a Doctor of Business Administration from Golden Gate University, specializing in Emerging Technologies with a concentration in Generative AI. She also holds a Master of Liberal Arts in Finance and a Graduate-Level Professional Certificate in Accounting from Harvard University, a Bachelor of Management from Athabasca University, and diplomas in Business and Accounting from Centennial College. She is a Certified Fraud Examiner and a Certified Teacher and Trainer of Adults.
An active contributor to international discussions on AI governance, Dr. Guneysel is committed to advancing practical governance approaches that help organizations implement AI responsibly, strengthen accountability, enhance transparency, and preserve trust in financial reporting and audit. Through her research, keynote presentations, and advisory work, she bridges academic research with practical business solutions to support responsible AI adoption and operational excellence in the digital age.