Supervised AI Agents as Internal Audit Team Members

Course Details

Date

Saturday, November 7, 2026

8:00am – 8:57am

Field of Study

Auditing

Course Number

A8504353

CPE Credit

1 hour CPE credit

Level of Knowledge

Intermediate

Vendor

ACPEN

Prerequisites

At least six (6) months of professional financial statement analysis experience and/or at least six (6) months of professional experience in preparing or reviewing accounting processes and reports; experience working with internal clients or external clie

Description

How should internal auditors and finance team leaders use Agentic AI? What are the dos and do nots? When deployed properly AI is wonderful. Can AI help with SOX testing? We review how to avoid the common mistakes that eliminate the benefits that AI can provide. Join us to learn about those expensive lessons.

Agentic AI (‘Artificial Intelligence’) is rapidly being deployed by leading audit, compliance, and finance teams. While AI agents are not yet replacing all of today’s knowledge workers like auditors, accountants, and IT security professionals, the knowledge workers that effectively use Agentic AI may soon be replacing those knowledge workers who do not use these tools to drive high quality business growth and scale.

AI is moving beyond automation to become a true teammate, especially in the governance, risk, and compliance processes. This session will show how supervised AI agents can work alongside accountants, auditors and IT security professionals to enhance efficiency, consistency, and assurance quality.

Of critical importance is training and supervision so that the AI agents accomplish their testing to mee the intended quality standards. Attendees will leave with a practical view of how AI-powered testing can be applied to both internal and external assurance. Be prepared and learn from others.

Highlights

Independent execution: AI agents can perform control testing and analyze evidence across multiple formats.

Audit-ready outputs: Deliver high-quality results with speed, accuracy, and consistency.

Workflow integration: See how agents fit seamlessly into existing audit engagement processes.

Guardrails and governance: Learn the safeguards and governance needed to ensure reliability.

Human supervision: Explore the critical role of training data and oversight in producing trustworthy results.

Practical applications: Real-world examples of firms already deploying supervised AI agents in audits.

Augmentation, not replacement: Understand how AI can support, rather than substitute, on audit teams.

Objectives

To explore and understand the capabilities of Agentic AI in internal audit functions.
To determine appropriate use cases to deploy AI tools in a safe and controlled manner.
Why proper training of AI is necessary to be successful?

Designed For

Internal and external assurance professionals, especially those with a focus on governance, risk and compliance (GRC). Any leader who wants to better understand AI and become more effeitve by utilizing AI, including corporate financial leaders, financial