The Controllership Series: The Controller’s Role in Artificial Intelligence

Author: Lynn Fountain

In today’s AI-driven environment, the controller plays a crucial role in ensuring the integrity, reliability, and ethical use of AI systems, particularly within financial operations. Controllers act as guardians of data quality, compliance, and risk management, ensuring AI-driven insights are accurate, relevant, and aligned with regulatory standards.

The controller’s role is evolving from traditional financial oversight to becoming a strategic enabler of AI-driven transformation, balancing innovation with ethical, compliant, and reliable financial practices.

Publication Date: February 2026

Topics Covered

• Key Responsibilities of Controllers in AI
• Data Integrity and Quality
• Ensure the quality and reliability of data used to train and inform AI models
• Establish data governance frameworks and implement data quality initiatives
• Maintain data lineage, tracking data from source to downstream systems
• Risk Management
• Assess potential risks of AI implementation, including inaccuracies, vulnerabilities, and ethical concerns
• Define and implement AI risk management frameworks to ensure responsible and ethical use
• Compliance
• Stay informed about relevant regulations and ensure AI systems meet legal and policy requirements
• Monitor AI operations to prevent violations of laws or organizational standards
• Transparency and Auditability
• Ensure AI decision-making is transparent and auditable
• Establish review processes to identify potential biases or errors in AI outputs
• Collaboration and Training
• Work with IT and business teams to understand AI capabilities and limitations
• Provide training to teams on effective AI use and management
• Value Creation
• Leverage AI to identify automation opportunities, improve operational efficiency, and gain real-time financial insights
• Emerging Role
• Controllers are increasingly hands-on in AI implementation
• They serve as catalysts for AI-enabled transformation, identifying potential use cases and building confidence in AI tools

Learning Objectives

• Identify the trends in AI
• Explain the controller’s role in AI
• Identify specific AI processes for Controllers
• Identify key AI cases
• Explain AI and financial reporting
• Identify AI and fraud cases
• Explain AI and expense management
• Explain AI and improved decision making
• Explain AI and risk assessment
• Explain AI and supply chain management
• Identify the seven pillars of a trustworthy framework

Level
Intermediate

Instructional Method
Self-Study

NASBA Field of Study
Accounting (2 hours)

Program Prerequisites
Basic understanding of the concept of artificial intelligence

Advance Preparation
None