AI for Finance Workflows and Governance Course Overview
AI has moved from a separate system you visit when you have a question to a tool now embedded in the spreadsheets, decks, and platforms finance professionals use every day. The question is no longer whether to use AI in your finance work. It is whether you are using it well, safely, and in a way that holds up under audit and review.
This course gives finance professionals the working command of contemporary AI tools the role now demands. You will learn how AI actually works (and where large language models predictably fall short), choose the right tool for the task, write prompts and reusable Skills that produce defensible output, work effectively with agentic AI through a live Earnings Review demo, and apply the audit-trail and governance discipline that turns AI from a productivity tool into one that meets the standard finance professionals are held to.
Who should take this course?Â
This course is for finance analysts, associates, and managers that work in FP&A, commercial banking and credit, valuation, capital markets, and wealth management who want to use AI deliberately, defensibly, and to the standard their role demands. It is suitable for anyone preparing for an FMVA, FPAP, CBCA, CMSA, or FPWMP certification, or already working in those domains and looking to bring contemporary AI tools including agentic workflows into their day-to-day work.
AI for Finance Workflows & Governance Learning Objectives
By the end of this course you will be able to:Â- Explain what contemporary AI tools can and cannot do in common finance workflows.
- Select an appropriate AI tool and data-handling approach for a given finance task.
- Write prompts and reusable templates that improve relevance, accuracy, and tone.
- Validate, document, and govern AI-assisted work using proportionate controls.
- Design a supervised, agentic workflow and determine where human decision-making rights must remain.
