How to use AI in Financial Reporting for Corporations

Overview

This practical webinar explores how corporations can use AI to improve financial reporting processes. Attendees will learn how AI can support data gathering, reconciliations, commentary drafting, variance analysis, anomaly detection, close processes, and report generation.

The session will also cover governance, internal controls, compliance considerations, and where human oversight remains essential. Real-world examples will show how finance teams can use AI to reduce manual work, accelerate reporting cycles, and improve the quality of financial insights.

By the end of the webinar, attendees will have a clearer understanding of how AI can be applied within corporate financial reporting functions and what best practices should be followed.

Why you should Attend

Organizations that continue to rely entirely on manual reporting processes risk slower close cycles, higher error rates, increased compliance exposure, and reduced visibility into financial performance.

Without understanding how AI can support financial reporting, corporations may miss opportunities to improve efficiency, strengthen controls, and deliver faster, more insightful reporting to leadership, boards, investors, and regulators.

At the same time, poorly managed AI adoption can introduce risks around inaccurate outputs, data privacy, compliance failures, and overreliance on automation.

This webinar provides practical guidance on how corporations can use AI effectively in financial reporting while maintaining the necessary controls, governance, and human oversight.

Areas Covered in the Session

• Introduction to AI in corporate financial reporting
• Common challenges in traditional reporting processes
• Key use cases for AI in reporting, including:
• Automating repetitive reporting tasks
• Accelerating month-end and quarter-end close processes
• Supporting reconciliations and data validation
• Identifying anomalies and unusual transactions
• Drafting management commentary and board summaries
• Supporting variance analysis and trend identification
• Assisting with regulatory and compliance reporting
• Reviewing financial statements for consistency and completeness
• Enhancing dashboard reporting and business intelligence
• Risks, limitations, and where human oversight remains essential
• Governance, controls, and audit considerations
• Data privacy, confidentiality, and regulatory requirements
• Building an AI-supported financial reporting framework

Who Will Benefit

• CFO's and Finance Directors
• Controllers and Assistant Controllers
• Financial Reporting Managers
• FP&A Professionals and Financial Analysts
• Internal Auditors and Compliance Professionals
• Accounting Managers and Senior Accountants
• SEC Reporting and Regulatory Reporting Teams
• Finance Transformation Leaders
• Business Intelligence and Reporting Specialists
• Consultants and Advisory Professionals