babymore87
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Free Download Gen AI & AI Agents for Finance, Accounting & Administration
Published 8/2026
MP4 | Video: h264, 1920x1080 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 38m | Size: 1.48 GB
Save hours weekly with AI: prompting, spreadsheets, document pipelines, agents, and professional safeguards
What you'll learn
Understand what generative AI genuinely does well in finance work and where it fails, including arithmetic and hallucinations.
Apply a clear confidentiality rule before entering any client data into AI tools, protecting your practice and your license.
Navigate the five categories of AI tools finance professionals actually use, from general assistants to embedded software agents.
Write prompts that get reliable answers for finance tasks including drafting, summarizing, research, and analysis.
Extract invoices, receipts, and bank statements into clean, categorized data using AI document capture tools and pipelines.
Use AI inside your spreadsheets for formulas, cleanup, reconciliation, and turning raw numbers into clear narrative reporting.
Build forecasting and scenario models with AI support while reading and challenging the results critically.
Understand what AI agents are and activate the ones already built into QuickBooks, Xero, and other tools you already pay for.
Build your own no-code agents with Zapier, Make, n8n, or Power Automate using five proven finance practice recipes.
Navigate the EU AI Act and other regulations, write your practice AI policy, and follow a concrete 30-day adoption roadmap.
Use AI tools confidently across drafting, document extraction, spreadsheet work, reporting, and financial analysis tasks.
Build document-to-ledger pipelines and no-code AI agents with review checkpoints built in at every critical step.
Protect client confidentiality and comply with data protection and AI regulations across all your AI-assisted workflows.
Write your practice AI policy and execute a 30-day adoption roadmap while avoiding the five most common mistakes.
Requirements
No technical background required - this course is designed for finance and accounting professionals, not developers.
No prior experience with AI tools is needed - all concepts are introduced from scratch with finance-specific examples.
All you need is a device with internet access and a finance or accounting role where saving hours weekly would matter.
Description
Finance and accounting work is full of tasks that eat hours and follow predictable patterns. Chasing payments. Summarizing contracts. Extracting data from invoices and bank statements. Building formulas. Writing the narrative around the numbers. Modern AI does the first draft of all of it in seconds, and the professionals using it are already working faster than those who are not.
This course shows you exactly how, and how to do it safely.
Designed specifically for finance and accounting professionals with no technical background, this course starts by establishing two things that everything else depends on: what generative AI is genuinely good at in finance work, where it fails on arithmetic and precision, and the confidentiality rule you must apply before any client data touches an AI tool.
From there, you will map the five categories of AI tools that actually matter in this profession, from general assistants like ChatGPT, Claude, and Gemini, to AI inside your spreadsheet with Copilot and Claude for Excel, to document capture tools like Dext, to the AI agents already built into QuickBooks and Xero that many firms are paying for without using.
You will learn a prompting pattern that produces reliable answers for finance tasks, and apply it to drafting client emails, payment reminders, and engagement letters, to summarizing contracts and new regulation, and to research with proper verification guardrails.
The course goes deep on the two areas where AI saves the most time: turning documents into clean data through invoice, receipt, and bank statement extraction pipelines with your review built in, and spreadsheet work covering formulas, cleanup, reconciliation, analysis, reporting, and forecasting with critical evaluation of AI results.
A full section covers AI agents: what they are, how to activate the ones you already own, how to build your own with no code using Zapier, Make, n8n, or Power Automate, five proven agent recipes for a finance practice, and the approval limits required whenever an agent touches money or client data.
The final section addresses accuracy and accountability, confidentiality and data protection, the EU AI Act and other regulations, how to write your practice AI policy, and a concrete 30-day roadmap with the five mistakes to avoid.
No technical background required. Just a commitment to working faster without ever compromising the accuracy and confidentiality your profession demands.
Who this course is for
Accountants and bookkeepers who want to automate document processing, reconciliation, and client communication with AI.
Practice owners and partners in accounting firms looking to increase capacity and margins without expanding headcount.
Finance managers and controllers who want to accelerate reporting, analysis, and month-end close using AI tools.
Tax professionals and advisors who want AI support for research, regulation summaries, and client-facing documentation
Financial analysts and FP&A professionals looking to use AI for forecasting, scenario modelling, and narrative reporting.
CFOs and finance directors who need to evaluate AI tools strategically and guide safe adoption across their teams.
Auditors and compliance professionals who want to understand AI capabilities, limitations, and regulatory obligations.
Freelance accountants and finance consultants who want to serve more clients and deliver higher quality work with AI.
Small business owners handling their own bookkeeping who want to automate repetitive financial admin work.
Students and early-career finance professionals who want AI fluency before it becomes a baseline hiring expectation.
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