Reporting Excellence: Designing Controls and Leveraging AI

Overview

This is a rebroadcast from AICPA ENGAGE 2026.

Reliable financial reporting depends on more than collecting data. Organizations must ensure information is accurate, complete, governed, and fit for decision-making.

As AI tools become more prevalent, finance professionals must understand how to leverage innovation without compromising control effectiveness.

This webcast examines the critical relationship between data quality, governance, and financial reporting excellence. You’ll learn the distinction between raw data and meaningful information, along with practical approaches for documenting completeness and accuracy.

The session also explores the role of master data management and data governance in supporting consistent reporting outcomes, while highlighting how AI can be incorporated within defined control boundaries.

Key features and benefits:

Differentiate between data and information for stronger reporting practices

Learn methods for documenting completeness and accuracy to support internal controls

Recognize the impact of data governance and master data management on reporting quality

Explore how AI can enhance reporting processes while preserving control effectiveness

Gain practical insights for strengthening confidence in financial reporting outputs

Highlights

· Financial reporting · Data governance · Data quality · Internal controls · Artificial intelligence (AI)

Prerequisites

None

Designed For

Corporate finance professionals and controllers

Objectives

Distinguish between data and information.
Indicate how to document completeness and accuracy for control purposes.
Recognize how data governance and master data management affect financial reporting.
Recognize how artificial intelligence can be used within control limitations.