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AI Finance: Build Your Automated Reconciliation Tool - Part 1 of 3 (Video) (Course Id 2929)

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Author : Peter Ilas, FCCA, Finance Transformation Expert, Author, and Strategic Advisor
Course Length : Pages: 22 ||| Review Questions: 11 ||| Final Exam Questions: 15
CPE Credits : 3.0
IRS Credits : 0
Price : $44.95
Passing Score : 70%
Course Type: Video - NASBA QAS - NASBA Registry
Technical Designation: Technical
Primary Subject-Field Of Study:

Accounting - Accounting for Course Id 2929

Frequently Asked Questions :
  • Who is this course for?
    This course is for CPAs, accountants, controllers, auditors, finance managers, fractional CFOs, and other finance professionals who want to use AI to build a browser-based tool that makes balance sheet reconciliations faster and less dependent on manual Excel processes.
  • What is this course about or what problem does this course solve?
    This course teaches participants how to use AI and “vibe coding” to build the first version of an automated reconciliation tool that reduces the slow, repetitive, and error-prone work involved in importing journals, rebuilding tables, tracking open items, matching transactions, and tying accounts to the trial balance.
  • Where can the knowledge from this course be used?
    The knowledge can be used in finance and accounting environments to build and customize reconciliation tools for company accounts, including accounts with or without subledgers, and to support monthly, weekly, or daily reconciliation processes.
  • Why is this course important to a CPA or Accountant?
    This course is important to a CPA or Accountant because it demonstrates how AI can shift time away from repetitive reconciliation preparation toward reviewing balances, clearing open items, testing results, and maintaining the finance-owned logic and controls that support reliable reconciliations.
  • When is this course relevant or timely?
    This course is relevant when finance professionals want to modernize recurring balance sheet reconciliations with AI, particularly when preparing for monthly, weekly, or daily reconciliations and when establishing safe AI practices before using real company data.
  • How is a course like this consumed or used?
    This is a 3.0-CPE-credit QAS self-study video course with no prerequisites or advance preparation, supported by 22 pages, 11 review questions, a Prompt Library, fictitious practice data, guided exercises, and a 15-question final exam that must be passed with a score of at least 70% to earn CPE credit.
Description :

Balance sheet reconciliations are one of the most important controls in finance – and one of the most painful to prepare. Every month-end brings the same manual routine in Excel: import journals, pull the trial balance, rebuild tables, insert prior open items, add subtotals, and match line by line, all while hoping no formula breaks. It is slow, error-prone, and leaves little time for the review that actually matters.

This course shows you a completely different way. Using AI and "vibe coding," you will build your own modern, browser-based reconciliation tool – no coding or IT skills are needed. You simply send plain-language prompts to any AI you already use, and the AI builds the tool for you. In five clear steps and under two hours, you go from a blank page to a robust, working application that does in a few clicks what used to take hours.

Through this practical, step-by-step program, you will learn to:

  • Build the tool from scratch with AI: Analyse your source data, draft the master prompt, generate Version 1, and refine it through simple prompt-and-test iterations.
  • Reconcile any account: Handle accounts with or without a subledger, opening balances and movements.
  • Add workflows Excel cannot offer: Various filters, sorting groups and items together, transaction matching, match groups, color-coded statuses, and issues tracked all the way to resolution.
  • Reconcile as often as you need: Run the process monthly, weekly, or daily — export and re-import your work, protect prior entries, add only new journals, and tie out to the trial balance.
  • Customize it and apply best practice: Tailor the tool to your company, accounts, and personal style, and build in proven reconciliation best practice as you go.
  • Use AI safely: Apply data-privacy rules, company policy, and safe practices before you ever touch real company data.

You will also receive a complete Prompt Library with ready-to-use prompts, 16 variants, and 41 troubleshooting FAQ answers, plus fictitious practice data and 7 guided exercises covering various accounts and realistic issues.

Whether you are an accountant, controller, auditor, finance manager, or fractional CFO, this course changes how you work: hours become minutes, most of the effort shifts up front, and you walk into every close with an already clean balance sheet – spending your time reviewing and clearing items instead of crunching them.

This is Part 1/3

This is where you'll build the foundation: understand AI "vibe coding," analyse your source data, and go from a blank page to a working Version 1.

Usage Rank : 0
Release : 2026
Version : 1.0
Prerequisites : None.
Experience Level : Overview
Additional Contents : Complete, no additional material needed.
Additional Links :
Advance Preparation : None.
Delivery Method : QAS Self Study
Intended Participants : Anyone needing Continuing Professional Education (CPE).
Revision Date : 10-Aug-2026
NASBA Course Declaration : Participants must complete the final examination within one year of purchase and with a minimum passing grade of 70% or better to receive CPE credit unless otherwise noted on the Course History page (i.e. California Ethics must score 90% or better). After logging in click on the Course History links on your My Courses page for the Begin date and Expire date for the Final Exam.
Approved Audience :

Video - NASBA QAS - NASBA Registry - 2929

Keywords : AI Finance: Build Your Automated Reconciliation Tool - Part 1 of 3 (Video) - CPE course for CPAs
Learning Objectives :

Course Learning Objectives

After completing this course, participants will be able to: 

  1. Build a modern, browser-based reconciliation tool entirely with AI, using vibe coding — from a blank page to the first version.
  2. Analyse source data and craft effective prompts to generate and iteratively refine your tool.
  3. Reconcile accounts with or without a subledger, using journals, opening balances, custom lines, and statement tie-outs.
  4. Explain where AI can and cannot help, and why finance owns the logic, testing, and controls.
  5. Learn how to test each version so it works exactly to your expectations.
Course Contents :

Section 1: Introduction and Foundations

Section 1 Review Questions

Section 2: Step 1. Define Data and Strategy

Section 2 Review Questions

Section 3: Step 2. Build the First Prototype

Section 3 Review Questions

Glossary

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