AI Agents — goal-driven, tool-using systems that take workflow steps autonomously — is moving from concept to deployment in finance and accounting. This course gives CPAs and finance professionals a plain-English foundation: what agents are, where they’re being used, and what governance must look like before organizations deploy them. Grounded in research and illustrated with live demonstrations, participants leave with a practical readiness framework.
Course ID: IAIAAF
Introduction to AI Agents in Accounting & Finance: From Chatbots to Autonomous Agents — A Practical Guide
Learning Objectives
After completing this course, you will be able to:
- Distinguish AI Agents from generative AI chatbots and copilots, and identify the stages of the Assist → Propose → Execute autonomy spectrum.
- Recall key AI Agent platforms and map them to a four-tier control framework by governance risk.
- Recognize personal and professional use cases for AI Agent feasibility and priority.
- Indicate key components of a governance and risk control framework for proposed deployments, including access controls, output validation, and audit trails.
Major Topics
- What are AI Agents — In plain english, defines agents vs. chatbots vs. copilots, explains tool calling and statefulness, and introduces the autonomy spectrum: Assist, Propose, and Execute. Establishes bounded autonomy as the operating model for finance.
- Summarizes AI agent platforms relevant to finance and maps them across a four-tier control framework — platform-native, personal workflow, marketplace, and enterprise agents — by governance risk and deployment complexity.
- Citizen Developer vs. Enterprise AI Applications – Contrasts two deployment paths: institutionally governed enterprise agents and personally built citizen-developer workflows. Covers the Trigger → Task → Output → Human Review model and governance guardrails for both approaches.
- Risks & Controls Considerations — Addresses key risks including prompt injection, excessive agency, and data leakage, and presents a finance-safe controls framework across access/identity, output validation, and auditability — anchored by the Human + Agent Trust Loop.
Advanced Preparations
None
Who Should Attend
Accounting and finance professionals who want a practical introduction to AI Agents and a readiness framework to get started. No technical background required.
Fields of Study
Information TechnologyPrerequisites
None. Familiarity with AI tools such as ChatGPT, Claude or MS Copilot is helpful but not required.