Ai In Finance (2026)
Published 3/2026
Created by Michael Hofer
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz, 2 Ch
Level: All Levels | Genre: eLearning | Language: English | Duration: 9 Lectures ( 1h 55m ) | Size: 711 MB
Practical Use Cases for Finance Leaders
What you'll learn
✓ Identify the four highest-ROI AI use cases for finance teams and launch the first one within 30 days
✓ Apply a six-step framework for building AI capability - from honest self-assessment through scaling what works
✓ Prioritize AI opportunities using a structured matrix that separates quick wins from costly distractions
✓ Write a specific, measurable success criterion for any AI initiative
✓ Build a practical AI governance policy using a four-pillar framework you can adapt immediately
Requirements
● No prior AI knowledge or technical background required
● No coding or data science experience needed
● A basic familiarity with finance concepts is helpful but not required
Description
AI is already transforming the finance function. The question is whether you'll lead that transformation - or scramble to catch up.
This course was built for finance leaders who are skeptical by nature and convinced by evidence. Not technologists. Not consultants. Finance professionals who are accountable for results and want a practical framework - not a promise.
I'm Michael Hofer. I'm a CFO and AI Project Lead currently implementing AI inside a real finance organization. Everything in this course comes from doing it - not writing about it, not advising on it from the outside, but running real teams, closing real books, and executing AI projects under real constraints. That distinction matters.
What this course is
A practical, evidence-based playbook covering the four AI use cases delivering measurable results in finance organizations right now - forecasting, contract review, accounting close automation, and reducing external advisory spend. A six-step framework for building AI capability with discipline. A governance model you can adapt and use immediately. And an honest look at the risks every finance leader must manage before deploying AI in consequential processes.
What this course is not
This is not a course about prompt optimization or AI tool comparisons. It is not technical - you will not need a data science background, coding experience, or any prior AI knowledge. And it is not hype. The gap between what vendors promise and what organizations actually experience is real, and this course was built around the evidence, not the pitch deck.
By the end of this course, you will have
A prioritized AI roadmap for your finance function. A success criterion for your first project. A governance framework your team can follow. And a 30-day action plan with a kickoff on the calendar.
The organizations winning with AI right now are not the ones with the biggest budgets. They are the ones that started.
This course exists to help you start.
Who this course is for
■ CFOs and finance leaders who want to implement AI but don't know where to start
■ Controllers, FP&A leaders, and finance managers responsible for forecasting, close, or reporting processes
■ Finance professionals who are skeptical of AI hype and want evidence-based, practical frameworks
■ Anyone currently leading or preparing to lead an AI initiative inside a finance function
