The Controllership Series: The Controller’s Role in Artificial Intelligence (Completed)

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.

Topics Covered

• Key Responsibilities of Controllers in AI

• 1. 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

• 2. 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

• 3. 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

• 4. Transparency and Auditability

• Ensure AI decision-making is transparent and auditable
• Establish review processes to identify potential biases or errors in AI outputs

• 5. 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

• 6. Value Creation

• Leverage AI to identify automation opportunities, improve operational efficiency, and gain real-time financial insights

• 7. 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

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

Level
Intermediate

Instructional Method
Group: Internet-based

NASBA Field of Study
Accounting (2 hours)

Program Prerequisites
Basic understanding of the concept of artificial intelligence

Advance Preparation
None