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AI Finance: Build an AP Billing Fraud Dashboard with AI (Video) (Course Id 2964)

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Author:

 Peter Ilas, FCCA, Finance Transformation Expert, Author, and Strategic Advisor

Course Length:

 Pages: 31 ||| Review Questions: 17 ||| Final Exam Questions: 25

CPE Credits:

 5.0

IRS Credits:

 0

Price:

 $74.95

Passing Score:

 70%

Course Type:

 Video - Text

Technical Designation:

 Technical

Field Of Study:

 Accounting

Approved Audience:

 NASBA QAS - NASBA Registry

Key Takeaways:

This video course teaches participants how to build an AI powered AP billing fraud and duplicate payment dashboard and apply a structured investigation workflow to detect, document, and escalate billing fraud red flags.

  • Billing schemes account for 21 percent of occupational fraud cases, carry a median loss of $90,000, and often continue for 14 months before detection, which is why the course teaches a structured way to catch them earlier.
  • Using three sequential AI prompts, participants build a browser based dashboard that checks 24 defined fraud patterns and red flag variants across invoices, payments, vendor data, bank details, approvals, and user activity.
  • The course provides a best practice investigation workflow for assigning cases, gathering evidence, documenting reasoning, and concluding or escalating findings within a single cumulative review file.
  • Participants test the finished tool against exact expected results using realistic fictitious data, then learn to export, reimport, and customize the dashboard for recurring monthly use.
  • Requires a 25 question final exam preceded by 17 review questions (optional) and a 70 percent passing score within one year.

Frequently Asked Questions:

AI Finance Build an AP Billing Fraud Dashboard with AI Video explains that billing schemes make up 21 percent of occupational fraud cases, with a median loss of $90,000 and a typical detection time of 14 months.

AI Finance Build an AP Billing Fraud Dashboard with AI Video teaches participants to build a dashboard that checks 24 defined fraud patterns and red flag variants across invoices, payments, vendor data, and approvals.

AI Finance Build an AP Billing Fraud Dashboard with AI Video covers a best practice workflow for assigning cases, gathering evidence, documenting reasoning, and escalating or closing findings in a cumulative review file.

AI Finance Build an AP Billing Fraud Dashboard with AI Video has participants test the tool against exact expected results using realistic fictitious data before customizing it for recurring monthly use.

AI Finance Build an AP Billing Fraud Dashboard with AI Video is a 5 CPE credit self study video course, requiring a 25 question final exam preceded by 17 review questions (optional) and a 70 percent passing score within one year.

Yes, AI Finance Build an AP Billing Fraud Dashboard with AI Video provides five hours of CPE credit in fraud prevention, detection, or reporting, which counts toward the four hour fraud CPE requirement imposed by the California Board of Accountancy (http://www.dca.ca.gov/cba) on CPAs subject to the accounting and auditing, governmental auditing, or preparation engagement CE requirement.

Description:

Billing schemes appear in 21% of occupational fraud cases. Their median loss is USD 90,000, and they typically continue for 14 months before detection. Yet AP fraud is often overlooked because each invoice or payment may look ordinary on its own. The real warning signs are scattered across invoice references, amounts, payment timing, vendor records, bank accounts, approval levels, and user activity.

This course turns those scattered signals into structured investigations. You will build a professional, browser-based AP Billing Fraud & Duplicate-Payment Dashboard that checks 24 defined fraud patterns and red-flag variants. But this is not only a technical build: you also receive a proven best-practice investigation workflow for assigning cases, gathering evidence, documenting reasoning, concluding or escalating, preserving review history, and continuing the work every month. The tool keeps linked evidence, status, comments, evidence references, and the conclusion together in one cumulative review file.

Usage Rank:

 20031

Release:

 2026

Version:

 1.0

Prerequisites:

 None.

Experience Level:

 Overview

Additional Contents:

 Complete, no additional material needed.

Additional Links:
Internal: Leveraging AI in Accounting Practice (Video) (Course Id 2655)
Internal: AI and Accounting - What You Need to Know (Course Id 2267)
External: Artificial intelligence
External: Artificial Intelligence (AI): What It Is, How It Works, Types, and Uses

Advance Preparation:

 None.

Delivery Method:

 QAS Self Study

Intended Participants:

 Anyone needing Continuing Professional Education (CPE).

Revision Date:

 19-Sep-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.

Keywords:

 AI Finance: Build an AP Billing Fraud Dashboard with AI (Video) - CPE course for CPAs

Learning Objectives:

Course Learning Objectives

After completing this course, participants will be able to: 

  1. Explain how recurring AP analytics reveals fraud red flags.
  2. Build the browser dashboard with AI and supplied files.
  3. Validate and correct the tool against expected results.
  4. Apply a best-practice investigation workflow to flagged cases.
  5. Run the recurring monthly export and re-import process.
  6. Customize the tool safely for another organization.


What you will build and do

  • Build a professional tool without coding: follow three ready-made AI prompts from the first prototype to the complete recurring dashboard.
  • Detect 24 defined patterns and red flags: the dashboard investigates invoices, payments, vendor data, bank details, approvals, timing, transaction patterns, and user concentration.
  • Apply a best-practice investigation workflow: combine related findings into one case, assign an independent owner, gather evidence, document the reasoning, conclude, escalate, close, and follow up open work.
  • Prove that the tool works: test it on realistic fictitious data against exact Expected Results instead of trusting generated software blindly.
  • Continue every month: export the cumulative working master, re-import it, add new transactions, preserve prior review work, and identify new, changed, or reopened cases.
  • Customize it safely: adapt mappings, organizational dimensions, approval levels, thresholds, business hours, and workflow exactly to your company or client.

Course Contents:

Section 1: How to Create the AP Billing Fraud Dashboard

Section 1 Review Questions

Section 2: Creating the Prototype and Data Checks

Section 2 Review Questions

Section 3: Adding the Red Flag and Investigation Engine

Section 3 Review Questions

Section 4: Final Build Adding the Recurring Workflow

Section 4 Review Questions

Glossary
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